# Therapeutic drug monitoring in oncology - What's out there: A bibliometric evaluation on the topic

Jana Stojanova, Jane E. Carland, Bridin Murnion, Vincent Seah, Jim Siderov, Florian Lemaitre

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## To cite this version:

Jana Stojanova, Jane E. Carland, Bridin Murnion, Vincent Seah, Jim Siderov, et al. Therapeutic drug monitoring in oncology - What's out there: A bibliometric evaluation on the topic. Frontiers in Oncology, 2022, 12 (959741), pp.959741. 10.3389/fonc.2022.959741. hal-03888056

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OPEN ACCESS

EDITED BY

Miao Yan,
Second Xiangya Hospital, Central
South University, China

REVIEWED BY

Claire Knezevic,
Johns Hopkins University,
United States
Gregory Sivolapenko,
University of Patras, Greece
Satoshi Noda,
Shiga University of Medical Science
Hospital, Japan

*CORRESPONDENCE

Jana Stojanova
jana.stojanova@svha.org.au

SPECIALTY SECTION

This article was submitted to Pharmacology of Anti-Cancer Drugs, a section of the journal Frontiers in Oncology

RECEIVED 02 June 2022

ACCEPTED 07 October 2022

PUBLISHED 10 November 2022

CITATION

Stojanova J, Carland JE, Murnion B, Seah V, Siderov J and Lemaitre F (2022) Therapeutic drug monitoring in oncology - What's out there: A bibliometric evaluation on the topic. *Front. Oncol.* 12:959741. doi: 10.3389/fonc.2022.959741

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© 2022 Stojanova, Carland, Murnion, Seah, Siderov and Lemaitre. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

# Therapeutic drug monitoring in oncology - What's out there: A bibliometric evaluation on the topic

Jana Stojanova¹,²*, Jane E. Carland¹,³, Bridin Murnion¹,⁴, Vincent Seah¹, Jim Siderov⁵ and Florian Lemaitre⁶,⁷

¹Department of Clinical Pharmacology and Toxicology, St. Vincent's Hospital, Sydney, NSW, Australia, ²Interdisciplinary Centre for Health Studies (CIESAL), Universidad de Valparaíso, Valparaíso, Chile, ³School of Clinical Medicine, Faculty of Medicine and Health, Sydney, NSW, Australia, ⁴Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia, ⁵Pharmacy Department, Austin Health, Heidelberg, VIC, Australia, ⁶Université de Rennes, CHU Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail), Rennes, France, ⁷INSERM, Centre d'Investigation Clinique, Rennes, France

Pharmacological therapy is the mainstay of treatment for cancer patients. Despite wide interpatient variability in systemic drug concentrations for numerous antineoplastics, dosing based on body size remains the predominant approach. Therapeutic drug monitoring (TDM) is used for few antineoplastics in specific scenarios. We conducted a rapid bibliometric evaluation of TDM in oncology to capture a snapshot of research in this area over time and explore topics that reflect development in the field. Reports with the composite, indexed term 'therapeutic drug monitoring' in the title and abstract were extracted from MEDLINE (inception to August 2021). Reports related to applications in cancer were selected for inclusion and were tagged by study design, antineoplastic drugs and concepts related to TDM. We present a timeline from 1980 to the present indicating the year of first report of antineoplastic agents and key terms. The reports in our sample primarily reflected development and validation of analytical methods with few relating to clinical outcomes to support implementation. Our work emphasises evidence gaps that may contribute to poor uptake of TDM in oncology.

KEYWORDS

therapeutic drug monitoring, pharmacokinetic, antineoplastic agents, kinase inhibitors, bibliometric analysis
Introduction

Therapeutic drug monitoring (TDM) is the practice of
determining systemic drug concentrations to optimise patient
outcomes, mainly by adjusting drug dosage. It has been shown to
be of benefit for drugs with a narrow therapeutic window,
significant inter- and intra-individual pharmacokinetic
variability, an established concentration-effect relationship and
where information about circulating drug concentrations is
helpful for clinical management (1). Although TDM has been
used to support dosing decisions for some antineoplastics since
the 1970s (1), it is not universally applied. TDM guided dosing is
accepted for specific antineoplastics in specific clinical contexts,
including high-dose methotrexate, busulfan and thiopurines (2).
However, dosing based on weight and/or body surface area
(BSA) continues to be the dominant approach despite
observation of wide interpatient variability in systemic drug
concentrations (2).

While there are many aspects to consider when evaluating the
suitability of concentration-based dosing in oncology, one issue is
that exposure-response relationships are not systematically
evaluated during regulatory approval. This is illustrated by an
examination of US Food and Drug Administration's clinical
pharmacology reviews for biologicals used in oncology; of 15
agents registered between 2005 and 2016, only five had
documented exposure-response relationships (3). Following
commercialisation in the post-marketing authorisation setting,
most exposure-response work is performed through academic
initiatives. As a result, it is difficult to determine whether an
individual therapeutic agent is a poor candidate for
concentration-based dosing in a particular clinical context, or
simply that evidence is lacking or of poor quality.

The recent boom in targeted oral and biological therapeutics
has changed clinical practice in cancer therapy and has resulted
in numerous novel agents entering the market annually. For the
targeted oral agents, a single, maximally tolerated universal dose
is typically marketed, however most of these drugs are substrates
of metabolic enzymes and drug transporters. Of note, dosage
adjustment is suggested for managing adverse drug reactions in
the summary of product characteristics sheet for a number of
these drugs, implicitly suggesting an exposure-response
relationship; two examples are regorafenib and ibrutinib (4, 5).
Large interpatient variability in systemic concentrations is
increasingly recognised, provoking numerous initiatives to
evaluate the suitability of concentration-based dosing for these
agents (6, 7). While available targeted oral agents outnumber
antineoplastic biologicals (both targeted agents and checkpoint
inhibitors), the latter are increasingly used. These are similarly
marketed at a single, maximally tolerated fixed dose. Although
drug exposure is less likely to be impacted by a patient's

physiological characteristics, concentrations have been related
to effect for some agents (8). For the most part, research
initiatives are academic and the evidence base has unfolded
according to the clinical need and specialist areas of particular
research groups.

Both traditional and targeted agents are approved following
clinical trials involving participants that are relatively
homogenous in terms of age, body size and ethnicity, and a
lower degree of complex comorbidities. It is therefore often
through research initiatives after introduction of the drug to
routine clinical practice that the impact of obesity, extremes in
age, comorbidities and genetic differences, among other aspects,
are evaluated.

We conducted a rapid bibliometric evaluation of the
literature referring to the TDM of antineoplastic agents, to
capture a snapshot of the research in this area over time and
explore topics that reflect development in the field. We
characterised studies by publication type to explore the degree
to which clinical evaluations have been undertaken within the
greater body of literature. We sought to evaluate the impact of
technological developments and novel approaches, such as
alternative sampling strategies, over time. We were also
interested in the timing and frequency of reports for agents
that involved special populations, where the application of
concentration-based dosing may be particularly important.

Methods

Search strategy

Reports with the composite, indexed term ‘therapeutic drug
monitoring’ in the title and abstract were extracted from
MEDLINE, from inception to August 3, 2021. This was a
rapid scoping exercise. A subset of reports that included
specific terms related to the fields of oncology/haematology
and a list of antineoplastic agents were extracted (Appendix 1).

Selection criteria and screening

Studies were included if they reported on TDM in oncology.
There was no restriction on the type of report or language,
except for corrigendum or errata which were not included.
Reports related to myeloablation for hematopoietic stem cell
transplantation, or those referring to agents that have not
reached global markets to date were excluded. Screening of
titles and abstracts, and initial tagging, was performed using
Rayyan by four reviewers (9). Discrepancies were discussed and
resolved by the review team.
## Tagging of therapeutic agents and key concepts

Tagging for therapeutic agents and key concepts was performed in Microsoft Excel. A column was assigned to each term and the presence of the term in the title and/or abstract was indicated. Additional terms were identified through iterations of the process. Tagging of a term was nonspecific; for example, occasionally therapeutic agents were referred to in the abstract as an auxiliary agent, such as co-therapy or an internal standard, rather than the object of the report. We did not correct for such instances and accepted this limitation. Tagging of words with different spelling was performed individually, but reported together, for example, pediatric/paediatric or haematology/ hematology. Tagging of words and their most common acronyms was performed individually, but reported together, for example tandem mass spectroscopy/'MS/MS'. For reports without an abstract (n=25), the full text was reviewed to identify the publication type and the antineoplastic agent that was the object of the report, however concept terms were not reviewed for these reports. We did not tag for type of malignancy.

## Categorization and grouping

Tags related to study design were grouped into four categories: assay development and validation; modelling and simulation; clinical trials and primary studies; and reviews and perspectives (Appendix 2). Pharmacological agents were grouped into categories: cytotoxic antineoplastics; kinase inhibitors; hormonal antineoplastics; monoclonal antibodies and other non-cytotoxic antineoplastics.

## Data analysis and presentation

Data summaries were developed in R version 4.12 (10). Time series figures were prepared using Prism 9 (GraphPad, San Diego, CA).

## Results

There were 8860 reports with the term 'therapeutic drug monitoring' in titles and abstracts, and 1750 were identified for screening. Of the total set, 686 (7.7%) were included as referring to TDM in oncology (Figure 1). Reports were identified that related to 27 cytotoxic antineoplastics, 25 kinase inhibitors, 8 hormonal antineoplastics, 7 biological targeted agents and 3 other non-cytotoxic antineoplastics. Twenty-three reports (3%) did not refer to any specific neoplastic agent, most of which were general reviews or perspectives on the topic.

Most publications concerned analytical aspects (n=278, 40.5%); 23.9% were clinical or cost-effectiveness studies (n=164), 26.8% were reviews and perspectives (n=184) and 10.9% concerned modelling and simulation (n=72). Most clinical studies were observational: case reports (n=44), prospective cohort (n=41), retrospective cohort (n=35), case series (n=25); only 0.9% of all identified reports were randomized or non-randomized controlled trials where TDM was the intervention (n=6); these were conducted 2011-2021. Cost-effectiveness was the objective of 25 reports. Twelve reports were categorised into two of the four publication categories.

The first report identified was published in 1980 and concerned methotrexate (Figure 2A). A relatively low publication rate on the topic of TDM in oncology (1-20 per

<figure><img src="image_4.png" /><figcaption>FIGURE 1
Flow chart presenting the study inclusion process.</figcaption></figure>
<figure><img src="image_5.png" /><figcaption>FIGURE 2
(A) Total reports and reports focusing on kinase inhibitors over time. (B) Total reports based on publication type over time.</figcaption></figure>

year) was observed from 1980 until 2008 when the rate increased, aligning with the appearance of reports on kinase inhibitors, which were the object of 35.3% of all identified reports (n=242) (Figure 2A). Between 1980 and 1990 most publications identified were reviews and perspectives, while publications focusing on analytical aspects or clinical/other primary studies gradually increased in frequency from 1990 (Figure 2B).

Most cytotoxic antineoplastic drug classes had agents with first reports identified in the 1980s or 1990s; first reports for

agents from the taxane and vinca alkaloid classes were identified in 2000 (paclitaxel) and 2001 (vincristine), respectively (Figure 3). The first report of agents from the hormonal antineoplastic class was identified in 2004 (tamoxifen), although reports for most other agents in this class were first identified in 2014 (mitotane) and later. The first report for a kinase inhibitor was identified in 2005 (imatinib), with multiple reports covering a variety of agents identified from 2009 onwards. The first report covering antineoplastic antibodies was identified in 2009 (cetuximab) (Figure 3).
<figure><img src="image_6.png" /><figcaption>FIGURE 3
Timeline of the year of first report identified for individual antineoplastic agents and selected concept terms (blue). HPLC: high-performance liquid chromatography; MS: mass spectrometry; MS/MS: tandem mass spectrometry; UHPLC: ultra-high-performance liquid chromatography.</figcaption></figure>

When focusing on the most frequently reported antineoplastics, the proportion of the different publication types varied by agent (Table 1). For example, asparaginase was the object of a higher number of clinical studies (48%) and reviews (36%), relative to reports on analytical aspects (12%). In contrast, most publications relating to kinase inhibitors focused on analytical aspects, for example, 76% of the 33 publications identified for nilotinib. Similarly, reports about analytical aspects accounted for at least 40% of reports for methotrexate and taxanes. The proportion of reports about modelling and simulation was typically 10% or less, with the exception of platinum agents (26%).

Relatively few reports referred to ‘immunoassay’ (n=29) compared to ‘chromatography’ (n=157), both terms first appearing in 1992 (Supplemental Table S2). The first report involving HPLC was published in 1993 (n=66). The first report referring to ‘mass spectrometry/MS’ was published in 1999 (n=126), and for ‘tandem mass spectrometry/MS/MS’ in 2004 (n=115); most reports referring to mass spectrometry concerned tandem mass spectrometry (91%). More recent techniques identified include Raman spectroscopy (first identified in 2015, n=14), ‘surface plasmon resonance/SPR’ (first identified in 2012, n= 5), ‘sensor’ or ‘biosensor’ (first identified in 2015, n=13 and 5, respectively), and ‘aptamer’ for this type of sensor (first identified in 2021, n=2).

Blood or plasma were the principal sampling matrices across reports. Alternative sampling matrices were referred to in few reports: ‘urine’, ‘saliva’ and ‘hair’ in 5, 4 and 2 reports, respectively (Figure 3; Supplemental Table S2). The term ‘intracellular’ first appeared in 2006 (n=10) and ‘peripheral blood mononuclear cell/PBMC’ in 2021 (n=2). Terms referring to alternative sampling methods included ‘dried blood spots/ DBS’ (n=26) and ‘volumetric absorptive microsampling/VAMS’ (n=2), first reported in 2011 and 2019, respectively.

We selected terms referring to special populations, including extremes of age and obesity (Supplemental Table S2). The terms child (n=44 reports), pae/ediatric (n=33 reports), neonate (n=6 reports), and infant (n=4 reports) were first identified in reports from 1983, 2007, 2015 and 2016, respectively. The term ‘elderly’ first appeared in 1994 (10 reports), and ‘obese’ in 2002 (n=3 reports). The primary comorbidity evaluated was renal disease and its consequences. The terms ‘renal function’, ‘acute kidney injury/AKI’, ‘hae/ emodialysis’ and ‘end stage renal disease’ first appeared in reports from 1980, 2009, 2009 and 2018, and in 11, 2, 8 and 2 reports, respectively.

Terms relating to pharmacometrics, modelling and simulation appeared throughout the sample and those relating to dose adaptation and decision support (‘Bayesian’, ‘forecast’, ‘decision support’) first appeared in the 2000s (Supplemental Table S2). Concepts such as ‘target concentration intervention’ and ‘PK/PD’, first appeared in 2012 and 2014, in 5 and 7 reports, respectively (Supplemental Table S2). Regarding terms with greater than 25 reports, ‘population pharmacokinetic’, ‘Bayesian’ and ‘simulation’ primarily featured in reports about modelling rather than other study categories. ‘Trough’ and ‘AUC’, however, appeared more frequently in clinical or other primary studies (Supplemental Table S3). Terms related to metabolism and pharmacogenetics/genomics appeared throughout the sample, with terms referring to metabolic enzymes (CYP, P450) first appearing in 2005 (Supplemental Table S2). The stem ‘pharmacogen-’ predominantly appeared in reviews and perspectives.

Other unique concepts that appeared throughout the sample included ‘toxic/toxicity’, ‘matrices/matrix’ and ‘targeted’. ‘Cost’ first appeared in 2010 (n=35). An emerging term of interest identified was ‘circadian’ (first report 2015, n=2). (Supplemental Table S2).
<table><caption>TABLE 1 Publication type identified for the most commonly reported cytotoxic and non-cytotoxic antineoplastics (25 reports or more).</caption><thead><tr><th>DRUG</th><th>Total</th><th>Analytical method development and validation</th><th>Clinical trials and primary studies</th><th>Modelling and simulation</th><th>Reviews and perspectives</th></tr></thead><tbody><tr><td colspan="6"><strong>Cytotoxic antineoplastics</strong></td></tr><tr><td>methotrexate</td><td>78</td><td>35 (44.9%)</td><td>14 (17.9%)</td><td>10 (12.8%)</td><td>19 (24.4%)</td></tr><tr><td>5-fu/fluorouracil</td><td>57</td><td>15 (26.3%)</td><td>13 (22.8%)</td><td>6 (10.5%)</td><td>23 (40.4%)</td></tr><tr><td>carboplatin</td><td>34</td><td>3 (8.8%)</td><td>11 (32.4%)</td><td>9 (26.5%)</td><td>11 (32.4%)</td></tr><tr><td>paclitaxel</td><td>25</td><td>10 (40%)</td><td>4 (16%)</td><td>3 (12%)</td><td>8 (32%)</td></tr><tr><td colspan="6"><strong>Cytotoxic antineoplastic classes</strong></td></tr><tr><td>platinum agents</td><td>50</td><td>6 (12%)</td><td>18 (36%)</td><td>13 (26%)</td><td>13 (26%)</td></tr><tr><td>taxanes</td><td>32</td><td>12 (37.5%)</td><td>7 (21.9%)</td><td>3 (9.4%)</td><td>10 (31.2%)</td></tr><tr><td colspan="6"><strong>Non-cytotoxic antineoplastics</strong></td></tr><tr><td>tamoxifen</td><td>30</td><td>7 (23.3%)</td><td>11 (36.7%)</td><td>3 (10%)</td><td>9 (30%)</td></tr><tr><td>asparaginase</td><td>25</td><td>3 (12%)</td><td>12 (48%)</td><td>1 (4%)</td><td>9 (36%)</td></tr><tr><td colspan="6"><strong>Kinase inhibitors</strong></td></tr><tr><td>all kinase inhibitors</td><td>242*</td><td>116 (47.2%)</td><td>69 (28%)</td><td>23 (9.3%)</td><td>38 (15.4%)</td></tr><tr><td>imatinib</td><td>117</td><td>47 (40.2%)</td><td>26 (22.2%)</td><td>11 (9.4%)</td><td>33 (28.2%)</td></tr><tr><td>sunitinib</td><td>50</td><td>16 (32%)</td><td>16 (32%)</td><td>5 (10%)</td><td>13 (26%)</td></tr><tr><td>erlotinib</td><td>35</td><td>19 (54.3%)</td><td>6 (17.1%)</td><td>4 (11.4%)</td><td>6 (17.1%)</td></tr><tr><td>pazopanib</td><td>34</td><td>14 (41.2%)</td><td>11 (32.4%)</td><td>3 (8.8%)</td><td>6 (17.6%)</td></tr><tr><td>nilotinib</td><td>33</td><td>25 (75.8%)</td><td>3 (9.1%)</td><td>0 (0%)</td><td>5 (15.2%)</td></tr><tr><td>dasatinib</td><td>31</td><td>22 (71%)</td><td>4 (12.9%)</td><td>0 (0%)</td><td>5 (16.1%)</td></tr><tr><td>sorafenib</td><td>25</td><td>16 (64%)</td><td>2 (8%)</td><td>1 (4%)</td><td>6 (24%)</td></tr><tr><td colspan="6"><strong>Antineoplastic monoclonal antibodies</strong></td></tr><tr><td>all monoclonal antibodies</td><td>39</td><td>16 (41%)</td><td>7 (17.9%)</td><td>2 (5.1%)</td><td>14 (35.9%)</td></tr></tbody></table>

Discussion

Pharmacological therapy is the mainstay of treatment for cancer patients. Interest in the application of TDM for dosing antineoplastics is suggested by the rise in publications that included this term in titles and abstracts over the last 10 years. This coincides with the advent of kinase inhibitors, where numerous diverse agents enter global markets annually. Advances in analytical instrumentation and sampling methodologies likely also play a role in the rise of such publications, and this is reflected in our timeline.

Of 27 cytotoxic antineoplastic agents among reports, four had 25 or more publications identified (methotrexate, 5-fluorouracil, carboplatin, paclitaxel; Table 1). Though not universal, TDM is established practice for two of these agents, methotrexate and 5-fluorouracil, while for paclitaxel evidence is emerging and clinical application is at present not widespread (2, 11, 12). Although taxanes were discovered in the 1960s, paclitaxel, the first commercially available agent, obtained regulatory approval in 1992 due to challenges with synthesis and formulation (13). It is thus reasonable that the first report about paclitaxel therapeutic drug monitoring we identified was published in 2000.

Carboplatin deserves special mention. About a third of studies concerning this drug were clinical and other primary studies. Dosing is determined by the Calvert formula which relates renal function to a target AUC (14). This approach does not require measuring drug concentrations and is therefore not an example of the application of TDM. However, the example represents a departure from BSA dosing that came from the evaluation of drug concentrations through clinical use that ultimately resulted in reduced interindividual variability and improved outcomes. Among clinical studies within our sample, drug monitoring for carboplatin was used for high dose chemotherapy (15), neonates and infants (16, 17), amputees (18), obesity (19), and determining irreversible alopecia (20); several of these were case reports. This suggests interest in the application of concentration measurement of carboplatin to optimise dosing in special populations and unique scenarios. Similarly, that 5-fluorouracil concentrations achieved by BSA dosing differ in women compared to men was determined by clinical pharmacokinetic studies, and this is now accounted for in BSA based formulae (21); dosing based on concentration measurement for 5-fluorouracil is nonetheless superior in reducing inter-patient variability in systemic concentrations.

<footnote>*Four reports were in two of the categories indicated.</footnote>
Central to performing TDM is ready access to relevant assays that are precise and sensitive. Commercial immunoassays are available for a limited number of antineoplastics; methotrexate (globally), 5-fluorouracil, paclitaxel and docetaxel (Europe only) (2). Of the 29 reports we identified with the term ‘immunoassay’, 25 related to analytical aspects and 16 concerned methotrexate. While chromatographic assays have been developed for many agents, few have attained regulatory approval for clinical use (2). At present, most laboratories employ LC-MS/MS as the principal analytic method applied to measure these drugs, reflected by the large number of reports since 2004 in our sample (n=115), relative to U/HPLC and traditional mass spectrometry.

The availability of suitable instrumentation and methodology has likely impacted which drugs are evaluated as TDM candidates over time. Vincristine provides an example of an agent, that despite a long history of clinical use (13), first appeared in our sample in 2001. While an analytical method was published in 1985 (22), improved separation procedures and novel detection sensors resulted in more sensitive assays (23–25). These reports did not refer to therapeutic drug monitoring and thus did not appear in our sample. The earlier assays required relatively large sample volumes, and further procedural and instrumental improvements enabled concentration measurement in paediatric populations, especially neonates and children, as illustrated by three publications we identified (16, 26, 27).

Kinase inhibitors were referred to in 17.5% of all reports identified in our sample; most publications referred to analytical aspects (47.2%). Of 25 kinase inhibitors, seven had 25 or more publications identified (28%), and reports about analytical aspects comprised 32-76% of publications for individual agents. Kinase inhibitors are typically marketed at a single dose but exhibit substantial interindividual variability (6), and the impact of interindividual variability on achievement of suggested trough targets varies by agent. For imatinib and sunitinib, an estimated 73% and 49% of individuals fail to meet targets for efficacy with standardised dosing, while for erlotinib a majority achieve suggested targets (89%) (28).

TDM involves a multidisciplinary team, including clinical and laboratory staff, and represents a complex, service level intervention that involves multiple steps. Adoption of TDM by clinicians requires a change in the way they make dosing decisions. One consideration when exploring TDM in oncology is the need for practice change. Implementation of evidence-based approaches into clinical practice can take an average of 17 years (29). Avoiding this time lag necessitates identifying and addressing barriers to uptake. For TDM in other fields of medicine, such as infectious diseases, studies have identified barriers including time constraints, as well as integration of TDM processes into clinical workflow (30).

Perhaps key for incorporation of TDM in oncology, are barriers aligned with knowledge (30). As evidence to support TDM in oncology is largely provided by academic initiatives, the

body of literature is affected by factors such as limited funding and time, and may be the reason for a paucity of clinical studies. Lack of robust evidence for an exposure-response relationship is often cited as a primary reason why TDM is not widely adopted in oncology, and, in particular, lack of randomized controlled trials (31). In our sample we found 6 interventional controlled trials, all conducted relatively recently (2011–2021) (12, 32–36). Interventional trials involving TDM are difficult to undertake as TDM is a complex intervention; some specific challenges include inability to blind clinicians and lack of uptake of TDM-based dose advice by prescribers (37, 38).

We observed increasing interest in the application of TDM to guide antineoplastic dosing in special populations, for example, those that might not have been included in phase 3 clinical trials. Terms related to the very young (pae/ediatric, neonate, infant) were identified from 2007 onwards. Similarly, the term obese was first identified in 2002, albeit in relatively few reports. Availability of context-specific knowledge would help build clinician trust in the ability of TDM to guide dosing decisions, supporting sustained uptake.

Robust evidence for clinical implementation requires studies that are of a high quality. Quality evaluation of the studies in our sample was out of scope. While there is a reporting guide for clinical pharmacokinetic studies (39), this is not often used (published 2015; 70 citations in 2022). Risk of bias tools applied in evidence summaries, such as systematic reviews and clinical guidelines, are used to appraise quality. There are tools to cover a variety of study designs (40, 41), however those currently available do not reflect the particular challenges involved in clinical pharmacokinetic studies and studies that evaluate TDM as an intervention.

We limited our search to reports with the term ‘therapeutic drug monitoring’ in the title and abstract. This is not a limitation *per se*, but rather reflects our objective to perform a rapid scoping exercise, executed in a limited time frame. We selected this term as we consider it the most precise term to retrieve relevant reports. We excluded more general terms such as ‘drug monitoring’, ‘trough concentrations’ and ‘pharmacokinetics’ as these increased the retrieval of irrelevant reports many-fold. Our results must therefore be interpreted as reflecting the sample, rather than the complete body of work.

Work prior to 1990 might be underrepresented due to factors including increasing but not established adoption of the term, and relative lack of completeness of bibliographic databases prior to this date. The first report we captured is a review about methotrexate TDM and refers to previously published work that was not captured in our rapid scoping approach (42). Over time, reporting standards have developed, and it is possible that abstracts from earlier publications may have lacked detail compared to more recent work. Nevertheless, most antineoplastics currently in use were marketed after 1990, including some classic agents, such as paclitaxel, and all hormonal and targeted agents (13).
Concept based exploration was limited to concepts that could
be defined by specific terms. For example, our approach did not
permit determining changes in opinion about BSA based dosing
over time, as it would be difficult to reduce this discourse to a set
of key terms. Concept-based exploration was limited to the terms
we proposed or identified through the tagging process. Topic
modelling might be a helpful approach for future work (43),
however might not capture important concepts of interest with
low representation. Finally, the exploratory approach means that
some agents not known to the authors with low representation in
the data set may have been missed, however it is unlikely that
highly represented agents were missed in the sample.

Conclusions

We undertook a bibliometric evaluation of the literature
referring to the TDM of antineoplastic agents. Our sample
primarily concerned reports about analytical methods, and
relatively few reports relating to clinical outcomes of a design
to support implementation. Gaps related to the agents evaluated
might be explained by instrumental developments, for example,
LC-MS/MS enabling measurement of vincristine. TDM offers an
opportunity to improve the effectiveness and safety of
antineoplastics, particularly with complex drug regimes, high
risk populations and perhaps even in resistant disease. However,
more robust evidence is needed to support implementation.

Data availability statement

The data that support the findings of this study are available
on request from the corresponding author.

Author contributions

JSt, JC, BM, and VS performed screening and tagging. JSt,
JC, and BM analyzed and interpreted data. JSi and FL provided
clinical feedback and discussion. JSt, JC, BM, and FL wrote the

manuscript draft. JSt conceived and supervised the project. All
authors contributed to the article and approved the
submitted version.

Funding

The article processing charge was supported by the Research
Directorate of Universidad de Valparaíso (Grant CIDI8
Interdisciplinary Centre for Health Studies).

Acknowledgments

The authors would like to acknowledge Christian Valero
Berretta for preparing data summaries in R.

Conflict of interest

The authors declare that the research was conducted in the
absence of any commercial or financial relationships that could
be construed as a potential conflict of interest.

Publisher's note

All claims expressed in this article are solely those of the
authors and do not necessarily represent those of their affiliated
organizations, or those of the publisher, the editors and the
reviewers. Any product that may be evaluated in this article, or
claim that may be made by its manufacturer, is not guaranteed
or endorsed by the publisher.

Supplementary material

The Supplementary Material for this article can be found
online at: https://www.frontiersin.org/articles/10.3389/
fonc.2022.959741/full#supplementary-material

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