Evidence map›Paper›PMID 28570573›Full record

SynthesisPloS one2017

Evidence of selective reporting bias in hematology journals: A systematic review.

Cole Wayant, Caleb Scheckel, Chandler Hicks, Timothy Nissen, Linda Leduc, Mousumi Som, Matt Vassar

Abstract readSystematic Review
In one paragraph

Synthesis in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 5 pooled it
–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

25 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
  2. Digital training for building resilience: Systematic review, meta-analysis, and meta-regression.Stress and health : journal of the International Society for the Investigation of Stress · 2022
    Pooled it
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  6. Trial
  7. Review
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  15. Observational
  16. Usefulness of Cochrane Reviews in Clinical Guideline Development-A Survey of 585 Recommendations.International journal of environmental research and public health · 2022
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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

7 authors.

Cole WayantDepartment of Institutional Research, Oklahoma State University Center for Health Sciences, Tulsa, Oklahoma, United States of America.ORCID http://orcid.org/0000-0001-8829-8179
Caleb ScheckelInternal Medicine, Mayo Clinic, Scottsdale, Arizona, United States of America.
Chandler HicksDepartment of Institutional Research, Oklahoma State University Center for Health Sciences, Tulsa, Oklahoma, United States of America.
Timothy NissenDepartment of Institutional Research, Oklahoma State University Center for Health Sciences, Tulsa, Oklahoma, United States of America.
Linda LeducInternal Medicine, Oklahoma State University Medical Center, Tulsa, Oklahoma, United States of America.
Mousumi SomInternal Medicine, Oklahoma State University Medical Center, Tulsa, Oklahoma, United States of America.
Matt VassarDepartment of Institutional Research, Oklahoma State University Center for Health Sciences, Tulsa, Oklahoma, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionSelective reporting bias occurs when chance or selective outcome reporting rather than the intervention contributes to group differences. The prevailing concern about selective reporting bias is the possibility of results being modified towards specific conclusions. In this study, we evaluate randomized controlled trials (RCTs) published in hematology journals, a group in which selective outcome reporting has not yet been explored.

methodsOur primary goal was to examine discrepancies between the reported primary and secondary outcomes in registered and published RCTs concerning hematological malignancies reported in hematology journals with a high impact factor. The secondary goals were to address whether outcome reporting discrepancies favored statistically significant outcomes, whether a pattern existed between the funding source and likelihood of outcome reporting bias, and whether temporal trends were present in outcome reporting bias. For trials with major outcome discrepancies, we contacted trialists to determine reasons for these discrepancies. Trials published between January 1, 2010 and December 31, 2015 in Blood; British Journal of Haematology; American Journal of Hematology; Leukemia; and Haematologica were included.

resultsOf 499 RCTs screened, 109 RCTs were included. Our analysis revealed 118 major discrepancies and 629 total discrepancies. Among the 118 discrepancies, 30 (25.4%) primary outcomes were demoted, 47 (39.8%) primary outcomes were omitted, and 30 (25.4%) primary outcomes were added. Three (2.5%) secondary outcomes were upgraded to a primary outcome. The timing of assessment for a primary outcome changed eight (6.8%) times. Thirty-one major discrepancies were published with a P-value and twenty-five (80.6%) favored statistical significance. A majority of authors whom we contacted cited a pre-planned subgroup analysis as a reason for outcome changes.

conclusionOur results suggest that outcome changes occur frequently in hematology trials. Because RCTs ultimately underpin clinical judgment and guide policy implementation, selective reporting could pose a threat to medical decision making.

Indexed as

HematologyPublication BiasHumansRandomized Controlled Trials as Topic

Identifiers

PMID28570573
PMCPMC5453439

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.