Evidence map›Paper›PMID 29112232›Full record

ArticleCancer2018

Estimating global treatment toxicity burden from adverse-event data.

Shing M Lee, Dawn L Hershman, Jieling Miao, Xiaobo Zhong, Joseph M Unger, Ying Kuen Ken Cheung

Abstract read
In one paragraph

Article in Cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Trial
  2. Review
  3. Combining Response and Toxicity Data to Implement Project Optimus.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2024
    Article
  4. Article
  5. Article
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

6 authors.

Shing M LeeDepartment of Biostatistics, Mailman School of Public Health, Columbia University, New York, New York.ORCID 0000-0001-8413-6869
Dawn L HershmanHerbert Irving Comprehensive Cancer Center, Department of Medicine, Columbia University, New York, New York.
Jieling MiaoSouthwest Oncology Group Statistical Center, Fred Hutchinson Cancer Research Center, Seattle, Washington.
Xiaobo ZhongDepartment of Biostatistics, Mailman School of Public Health, Columbia University, New York, New York.
Joseph M UngerSouthwest Oncology Group Statistical Center, Fred Hutchinson Cancer Research Center, Seattle, Washington.
Ying Kuen Ken CheungDepartment of Biostatistics, Mailman School of Public Health, Columbia University, New York, New York.

Funding

SWOG NCORP Research BaseUG1CA189974 · NCI · THE HOPE FOUNDATION · PI CHARLES D. BLANKE, DAWN HERSHMAN · 2014 to 2026
$80.6M
NCI NIH HHS UG1 CA189974
6 · The paper itself

Abstract

backgroundA summary measure that reflects the global toxicity burden of a treatment is essential for comparing therapies. Current toxicity summaries are ad hoc and do not distinguish among the severities and types of toxicities. Here a clinically feasible method for estimating the toxicity burden, based on a prospective evaluation of the toxicity profile of a randomized clinical trial of 746 prostate cancer patients conducted by SWOG, is proposed.

methodsFor 308 patients who experienced severe toxicities, 2 physicians randomly selected from 14 physicians evaluated each toxicity profile and assigned a visual analogue scale score (0-10) based on their impression of the global burden of toxicities. With mixed-effects models, severity scores and a 10-point toxicity burden score (TBS) were derived from 27 predictors accounting for severe (grade 3) and life-threatening (grade 4) toxicities for each organ class of the Common Terminology Criteria for Adverse Events.

resultsFor most organ classes, grade 3 toxicities had a TBS of 4.14 (95% confidence interval [CI], 3.65-4.63), but infections, cardiovascular events, and pulmonary events had a higher TBS with differences of 0.87 (95% CI, 0.53-1.21), 0.88 (95% CI, 0.51-1.25), and 0.73 (95% CI, 0.22-1.24), respectively. Moreover, most grade 4 events had a higher TBS than grade 3 events, except for hemorrhaging, pain, metabolic events, and musculoskeletal events. The intrarater and interrater correlations were 0.91 and 0.59, respectively.

conclusionsThe burden of toxicity grades differs with toxicity types. A TBS provides a toxicity burden summary that incorporates physicians' perspectives and differentiates between severe and life-threatening toxicities and organ classes. Cancer 2018;124:858-64. © 2017 American Cancer Society.

Indexed as

Antineoplastic AgentsDrug-Related Side Effects and Adverse ReactionsHumansLong Term Adverse EffectsNeoplasmsSeverity of Illness IndexAntineoplastic Agentsadverse event summaryglobal toxicity burdentoxicity burdentoxicity summarytreatment burden

Identifiers

PMID29112232
PMCPMC5801103

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Registered trials

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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 OpenQuestion graph.