Evidence map›Paper›PMID 38006333›Full record

SynthesisJNCI cancer spectrum2023

Characteristics of post hoc subgroup analyses of oncology clinical trials: a systematic review.

Jawad Alrawabdeh, Marah Alzu'bi, Muntaser Alzyoud, Nada Odeh, Yazan Hamadneh, Hira Mian, Ghulam Rehman Mohyuddin, Amar H Kelkar, Aaron M Goodman, Rajshekhar Chakraborty and 5 more

Abstract readSystematic Review
In one paragraph

Synthesis in JNCI cancer spectrum, 2023. 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

15 authors.

Jawad AlrawabdehSchool of Medicine, University of Jordan, Amman, Jordan.
Marah Alzu'biSchool of Medicine, University of Jordan, Amman, Jordan.
Muntaser AlzyoudSchool of Medicine, University of Jordan, Amman, Jordan.
Nada OdehSchool of Medicine, University of Jordan, Amman, Jordan.
Yazan HamadnehSchool of Medicine, University of Jordan, Amman, Jordan.
Hira MianDepartment of Oncology, McMaster University, Hamilton, ON, Canada.
Ghulam Rehman MohyuddinUniversity of Utah, Salt Lake City, UT, USA.
Amar H KelkarDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
Aaron M GoodmanUniversity of California San Diego, La Jolla, CA, USA.
Rajshekhar ChakrabortyHerbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY, USA.
David A Russler-GermainDivision of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA.
Nikita MehraDepartment of Medical Oncology, Cancer Institute (WIA), Chennai, Tamil Nadu, India.
Diva BaggioPeter MacCallum Cancer Center, Parkville, VIC, Australia.
Edward R Scheffer CliffHarvard Medical School, Boston, MA, USA.
Samer Al HadidiMyeloma Center, Winthrop P. Rockefeller Cancer Institute, University of Arkansas for Medical Sciences, Little Rock, AR, USA.ORCID 0000-0003-4297-8042

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSubgroup analyses in clinical trials assess intervention effects on specific patient subgroups, ensuring generalizability. However, they are usually only able to generate hypotheses rather than definitive conclusions. This study examined the prevalence and characteristics of post hoc subgroup analysis in oncology.

methodsWe systematically reviewed published subgroup analyses from 2000 to 2022. We included articles presenting secondary, post hoc, or subgroup analyses of interventional clinical trials in oncology, cancer survivorship, or cancer screening, published separately from the original clinical trial publication. We collected cancer type, year of publication, where and how subgroup analyses were reported, and funding.

resultsOut of 16 487 screened publications, 1612 studies were included, primarily subgroup analyses of treatment trials for solid tumors (82%). Medical writers contributed to 31% of articles, and 58% of articles reported conflicts of interest. Subgroup analyses increased significantly over time, with 695 published between 2019 and 2022, compared to 384 from 2000 to 2014. Gastrointestinal tumors (25%) and lymphoid lineage tumors (39%) were the most frequently studied solid and hematological malignancies, respectively. Industry funding and reporting of conflicts of interest increased over time. Subgroup analyses often neglected to indicate their secondary nature in the title. Most authors were from high-income countries, most commonly North America (45%).

conclusionsThis study demonstrates the rapidly growing use of post hoc subgroup analysis of oncology clinical trials, revealing that the majority are supported by pharmaceutical companies, and they frequently fail to indicate their secondary nature in the title. Given the known methodological limitations of subgroup analyses, caution is recommended among authors, readers, and reviewers when conducting and interpreting these studies.

Indexed as

NeoplasmsHumansMedical OncologyResearch Design

Identifiers

PMID38006333
PMCPMC11025370

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.