Evidence map›Paper›PMID 27924815›Full record

ArticleLeukemia2017

The relationship between eligibility criteria and adverse events in randomized controlled trials of hematologic malignancies.

A Statler, T Radivoyevitch, C Siebenaller, A T Gerds, M Kalaycio, E Kodish, S Mukherjee, C Cheng, M A Sekeres

Abstract read
PubMed Publisher
In one paragraph

Article in Leukemia, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
13.8field-weighted citation impact, top 2% 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

12 citing papers in PubMed, 25 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
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  9. Article
  10. Article
  11. The representativeness of eligible patients in type 2 diabetes trials: a case study using GIST 2.0.Journal of the American Medical Informatics Association : JAMIA · 2018
    Article
  12. Thoracic Oncology Clinical Trial Eligibility Criteria and Requirements Continue to Increase in Number and Complexity.Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer · 2017
    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

9 authors at 1 institution in 1 country.

A StatlerLeukemia Program, Department of Hematology and Medical Oncology, Cleveland Clinic, Cleveland, OH, USA.
T RadivoyevitchDepartment of Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH, USA.
C SiebenallerDepartment of Pharmacy, Cleveland Clinic Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH, USA.
A T GerdsLeukemia Program, Department of Hematology and Medical Oncology, Cleveland Clinic, Cleveland, OH, USA.
M KalaycioLeukemia Program, Department of Hematology and Medical Oncology, Cleveland Clinic, Cleveland, OH, USA.
E KodishCenter for Ethics, Humanities and Spiritual Care, Cleveland Clinic, Cleveland, OH, USA.
S MukherjeeLeukemia Program, Department of Hematology and Medical Oncology, Cleveland Clinic, Cleveland, OH, USA.
C ChengDepartment of Pharmacy, Cleveland Clinic Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH, USA.
M A SekeresLeukemia Program, Department of Hematology and Medical Oncology, Cleveland Clinic, Cleveland, OH, USA.
Cleveland Clinic · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To minimize adverse events (AEs) unrelated to drugs and maximize the likelihood of drug approvals, eligibility criteria for randomized controlled trials (RCTs) may be overly restrictive. The purpose of this study was to determine if RCTs in hematologic malignancies exclude patients irrespective of known toxicities or observed AEs. MEDLINE was searched from 1/2010 to 1/2015 for RCTs published in high-impact journals. Of 97 trials, 33% were conducted in leukemia, 28% in lymphoma, 34% in multiple myeloma and 5% in myelodysplastic syndromes or myelofibrosis. Expected toxicities at thresholds of ⩾10%, ⩾5% and <5% were not correlated with cardiac, hepatic or renal eligibility criteria (logistic regression). To explore this lack of correlation we tested the concordance of expected toxicities and eligibility criteria using a modified version of McNemar's test: at each threshold, hepatic, renal and cardiac expected toxicities were significantly discordant with eligibility criteria. Hepatic and renal eligibility criteria were also not correlated with observed AEs, P=0.69 and P=0.77, respectively, but a significant correlation was detected between cardiac eligibility criteria and observed AEs, P=0.02. Thus, the analyzed RCTs excluding patients with organ dysfunction do not reflect expected toxicities, based on prescription drug labels/prior experience, or reported AEs on the trials.

Indexed as

Randomized Controlled Trials as TopicAntineoplastic AgentsHeartHematologic NeoplasmsHumansKidneyLiverLogistic ModelsAntineoplastic Agents

Identifiers

PMID27924815
OpenAlexW2560621997

What OpenQuestion holds

Textmetadata
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.