Evidence map›Paper›PMID 41313142›Full record

ArticleInternational journal of cancer2026

Evaluation of methods to identify chemotherapy-related hematologic toxicities in real-world settings.

Peng Wang, Kelli O'Connell, Jenna Bhimani, Victoria Blinder, Rachael Burganowski, Isaac J Ergas, Grace B Gallagher, Jennifer J Griggs, Narre Heon, Tatjana Kolevska and 15 more

Abstract read
In one paragraph

Article in International journal of cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

25 authors.

Peng WangDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Kelli O'ConnellDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Jenna BhimaniDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Victoria BlinderDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Rachael BurganowskiKaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, Washington, USA.
Isaac J ErgasDivision of Research, Kaiser Permanente Northern California, Pleasanton, California, USA.
Grace B GallagherDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Jennifer J GriggsDepartment of Medicine, Division of Hematology/Oncology, University of Michigan, Ann Arbor, Michigan, USA.
Narre HeonDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Tatjana KolevskaDepartment of Oncology, Kaiser Permanente Medical Center, Vallejo, California, USA.
Yuriy KotsurovskyyDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Candyce H KroenkeDivision of Research, Kaiser Permanente Northern California, Pleasanton, California, USA.
Cecile A LaurentDivision of Research, Kaiser Permanente Northern California, Pleasanton, California, USA.
Raymond LiuDivision of Research, Kaiser Permanente Northern California, Pleasanton, California, USA.
Kanichi G NakataKaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, Washington, USA.
Sonia PersaudDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Janise M RohDivision of Research, Kaiser Permanente Northern California, Pleasanton, California, USA.
Sara TabatabaiDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Emily ValiceDivision of Research, Kaiser Permanente Northern California, Pleasanton, California, USA.
Yashasvini SampathkumarDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York, USA.ORCID https://orcid.org/0009-0007-2120-2620
Maria J Monroy-IglesiasDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Elisa V BanderaCancer Epidemiology and Health Outcomes, Rutgers Cancer Institute, New Brunswick, New Jersey, USA.
Lawrence H KushiDivision of Research, Kaiser Permanente Northern California, Pleasanton, California, USA.
Elizabeth D KantorDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York, USA.ORCID https://orcid.org/0000-0002-9124-5323
Erin J Aiello BowlesKaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, Washington, USA.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
Risk-based Imaging Strategies to Improve Breast Cancer Surveillance OutcomesP01CA154292 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI KARLA M KERLIKOWSKE · 2011 to 2026
$52.9M
Infrastructure for Pathways, a Prospective Study of Breast Cancer SurvivorshipU01CA195565 · NCI · KAISER FOUNDATION RESEARCH INSTITUTE · PI AMBROSONE, CHRISTINE B., KUSHI, LAWRENCE H · 2016 to 2025
$18.8M
CRN4: Cancer Research Resources & Collaboration in Integrated Health Care SystemsU24CA171524 · NCI · KAISER FOUNDATION RESEARCH INSTITUTE · PI KUSHI, LAWRENCE H · 2012 to 2016
$16.0M
Obesity, chemotherapy dosing, and breast cancer outcomesR37CA222793 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI KANTOR, ELIZABETH DAVID · 2018 to 2024
$4.0M
Oncology-focused Postdoctoral Training in Care Delivery and Symptom Science (OPTICS)T32CA275764 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI JONINE L. BERNSTEIN, JUN J MAO · 2023 to 2026
$1.8M
Group Health Cancer Research Program Research Specialist AwardR50CA211115 · NCI · KAISER FOUNDATION RESEARCH INSTITUTE · PI BOWLES, ERIN JANELLE AIELLO · 2017 to 2021
$919k
Geoffrey Beene Cancer Research CenterNCI NIH HHS P01 CA154292NCI NIH HHS P01CA154292NCI NIH HHS P30 CA008748NCI NIH HHS P30CA008748NCI NIH HHS R37 CA222793NCI NIH HHS R37CA222793NCI NIH HHS R50 CA211115NCI NIH HHS R50CA211115NCI NIH HHS T32 CA275764NCI NIH HHS T32CA275764NCI NIH HHS U01 CA195565NCI NIH HHS U01CA195565NCI NIH HHS U24 CA171524NCI NIH HHS U24CA171524
6 · The paper itself

Abstract

Hematologic toxicities are common in those receiving chemotherapy and can affect subsequent treatment delivery and patient outcomes. Laboratory results and International Classification of Diseases (ICD) codes are often used to define toxicities in real-world settings; optimal use of this information for research remains unclear. In 854 women receiving adjuvant chemotherapy for stage I-IIIA breast cancer with abstracted medical record data at Kaiser Permanente Washington, we defined three chemotherapy-related hematologic toxicities (anemia, neutropenia, and thrombocytopenia) using laboratory data, ICD codes, and a combination of both during and up to 1 month after chemotherapy. Cutpoints for laboratory values corresponding to grades 1-3 were derived from Common Terminology Criteria for Adverse Events. We examined sensitivity, specificity, and positive predictive value (PPV), comparing laboratory and ICD definitions to chart review. Chart review identified 180 women with anemia, 168 with neutropenia, and 21 with thrombocytopenia. Grade-1+ showed the highest sensitivity for all toxicities (range: 0.84-0.95) but lowest specificity (range: 0.45-0.86) and PPV (range: 0.14-0.47). Grade-3+ showed the lowest sensitivity for all toxicities (range: 0.13-0.59) and highest specificity (range: 0.85-1.00) and PPV (range: 0.63-0.82). ICD and grade-2+ each showed balanced performance across toxicities, with ICD having slightly higher sensitivity (range: 0.62-0.76) than grade-2+ (range: 0.48-0.77). Combining grade-2+ and ICD improved sensitivity (range: 0.76-0.93) for all toxicities without much loss of specificity (range: 0.64-0.98), and no change to PPV. In conclusion, ICD and grade-2+ showed moderate-to-good performance for defining hematologic toxicities; the combination of laboratory data (especially grade-2+) and ICD showed better performance than either source alone.

Indexed as

AnemiaAntineoplastic AgentsBreast NeoplasmsHematologic DiseasesNeutropeniaThrombocytopeniaAdultAgedAged, 80 and overChemotherapy, AdjuvantFemaleHumansInternational Classification of DiseasesMiddle AgedSensitivity and SpecificityAntineoplastic Agentsbreast cancerchemotherapyhematologic toxicity

Identifiers

PMID41313142
PMCPMC13007531

What Socratic holds

Textmetadata
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Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.