Evidence map›Paper›PMID 40038835›Full record

ArticleResearch integrity and peer review2025

Analysis of indications for selectively missing results in comparative registry-based studies in medicine: a meta-research study.

Paula Starke, Zhentian Zhang, Hannah Papmeier, Dawid Pieper, Tim Mathes

Abstract read
In one paragraph

Article in Research integrity and peer review, 2025. 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

5 authors.

Paula StarkeDepartment of Medical Statistics, University Medical Center Göttingen, Göttingen, Germany. paula.starke@med.uni-goettingen.de.ORCID http://orcid.org/0000-0001-7710-4068
Zhentian ZhangDepartment of Medical Statistics, University Medical Center Göttingen, Göttingen, Germany.
Hannah PapmeierDepartment of Medical Statistics, University Medical Center Göttingen, Göttingen, Germany.
Dawid PieperFaculty of Health Sciences Brandenburg, Brandenburg Medical School (Theodor Fontane), Institute for Health Services and Health System Research, Rüdersdorf, Germany.
Tim MathesDepartment of Medical Statistics, University Medical Center Göttingen, Göttingen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe assess if there are indications that results of registry-based studies comparing the effectiveness of interventions might be selectively missing depending on the statistical significance (p < 0.05).

methodsEligibility criteria Sample of cohort type studies that used data from a patient registry, compared two study arms for assessing a medical intervention, and reported an effect for a binary outcome. Information sources We searched PubMed to identify registries in seven different medical specialties in 2022/23. Subsequently, we included all studies that satisfied the eligibility criteria for each of the identified registries and collected p-values from these studies. Synthesis of results We plotted the cumulative distribution of p-values and a histogram of absolute z-scores for visual inspection of selectively missing results because of p-hacking, selective reporting, or publication bias. In addition, we tested for publication bias by applying a caliper test.

resultsIncluded studies Sample of 150 registry-based cohort type studies. Synthesis of results The cumulative distribution of p-values displays an abrupt, heavy increase just below the significance threshold of 0.05 while the distribution above the threshold shows a slow, gradual increase. The p-value of the caliper test with a 10% caliper was 0.011 (k = 2, N = 13).

conclusionsWe found that the results of registry-based studies might be selectively missing. Results from registry-based studies comparing medical interventions should be interpreted very cautiously, as positive findings could be a result from p-hacking, publication bias, or selective reporting. Prospective registration of such studies is necessary and should be made mandatory both in regulatory contexts and for publication in journals. Further research is needed to determine the main reasons for selectively missing results to support the development and implementation of more specific methods for preventing selectively missing results.

Indexed as

Cohort studyEffectivenessP-hackingPublication biasRegistrationRegistriesReporting biasSelective reporting

Identifiers

PMID40038835
PMCPMC11881244

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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.