Evidence map›Paper›PMID 37948080›Full record

ArticleJAMA network open2023

Adverse Event Reporting in Randomized Clinical Trials for Multiple Myeloma.

Mimi Najjar, John McCarron, Edward R Scheffer Cliff, Katherine Berger, David P Steensma, Samer Al Hadidi, Rajshekhar Chakraborty, Aaron Goodman, Eric Anto, Tom Greene and 2 more

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.2field-weighted citation impact, top 7% of its field
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

9 citing papers in PubMed, 11 citations in OpenAlex.

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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

12 authors at 8 institutions in 1 country.

Mimi NajjarDepartment of Oncology, Johns Hopkins School of Medicine, Baltimore, Maryland.
John McCarronDivision of Hematology and Hematological Malignancies, Huntsman Cancer Institute, University of Utah, Salt Lake City.
Edward R Scheffer CliffProgram on Regulation, Therapeutics, and Law, Division of Pharmacoepidemiology and Pharmacoeconomics, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Katherine BergerIndependent Patient Advocate, Pawcatuck, Connecticut.
David P SteensmaDavid P. Steensma LLC, Wellesley, Massachusetts.
Samer Al HadidiMyeloma Center, Winthrop P. Rockefeller Cancer Institute, University of Arkansas for Medical Sciences, Little Rock.
Rajshekhar ChakrabortyHerbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, New York.
Aaron GoodmanDivision of Hematology, University of California, San Diego.
Eric AntoDivision of Biostatistics, Department of Population Health Sciences, University of Utah, Salt Lake City.
Tom GreeneDivision of Biostatistics, Department of Population Health Sciences, University of Utah, Salt Lake City.
Douglas SborovDivision of Hematology and Hematological Malignancies, Huntsman Cancer Institute, University of Utah, Salt Lake City.
Ghulam Rehman MohyuddinDivision of Hematology and Hematological Malignancies, Huntsman Cancer Institute, University of Utah, Salt Lake City.
University of Utah · USColumbia University Irving Medical Center · USHarvard University · USHuntsman Cancer Institute · USJohns Hopkins University · USPatient Advocate Foundation · USUniversity of Arkansas for Medical Sciences · USUniversity of California, San Diego · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Cancer treatment can result in burdensome toxic effects that profoundly affect patient quality of life. In seeking to emphasize the efficacy of tested treatments, clinical trial reports may use subjective or minimizing terms to describe adverse events (AEs). Objective: To evaluate patterns of AE reporting in multiple myeloma (MM) randomized clinical trials (RCTs) published between 2015 and early 2023. Design, Setting, and Participants: For this cohort study, the PubMed, Embase, and Cochrane Central Register of Controlled Trials databases were searched to assess the prevalence of minimizing terms in MM RCTs published between January 1, 2015, and March 1, 2023. Minimizing terms were defined as subjective terms used to favorably describe the safety profile of the intervention. The terms searched included convenient, manageable, acceptable, expected, well-tolerated, tolerable, favorable, and safe. Final data analysis was performed on July 21, 2023. Main Outcomes and Measures: The primary outcome was the occurrence of at least 1 minimizing term in an article. Univariate logistic regression analyses were performed to evaluate the association between the presence of at least 1 minimizing term and the actual incidence of grade 3 or 4 AEs, serious AEs, or grade 5 AEs. Results: Of the 65 RCTs included, 56 (86%) used minimizing terms when describing treatment-emergent AEs. The most frequently used minimizing terms were well-tolerated or tolerable in 29 trials (45%), manageable in 18 (28%), and acceptable in 16 (25%). Grade 3 or 4 AE rate in the examined RCTs ranged from 23% to 94%, with a median of 75% (IQR, 59%-82%). A univariate regression analysis demonstrated no association between the use of minimizing terms and grade 3 or 4 AE rates (odds ratio [OR], 1.35 [95% CI, 0.88-2.10] per 10% AE rate increase; P = .17) or grade 5 AE rates (OR, 3.16 [95% CI, 0.27-12.7] per 10% AE rate increase; P = .45). Conclusions and Relevance: These findings suggest that trial investigators and sponsors regularly use minimizing terms to describe toxic effects in MM trials, and use of this terminology may not reflect actual AE rates in these studies. Instead of using these terms, trial investigators should highlight event rates and patient-reported outcomes, to allow clinicians and patients to better evaluate the true tolerability of AEs.

Indexed as

Multiple MyelomaCohort StudiesHumansRandomized Controlled Trials as Topic

Identifiers

PMID37948080
PMCPMC10638643
OpenAlexW4388564792

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.