Evidence map›Paper›PMID 31818263›Full record

ArticleBMC medical research methodology2019

DEBATE-statistical analysis plans for observational studies.

Bart Hiemstra, Frederik Keus, Jørn Wetterslev, Christian Gluud, Iwan C C van der Horst

Abstract read
In one paragraph

Article in BMC medical research methodology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Using QALYs as an Outcome for Assessing Global Prediction Accuracy in Diabetes Simulation Models.Medical decision making : an international journal of the Society for Medical Decision Making · 2025
    Article
  6. Article
  7. Article
  8. ESMO Guidance for Reporting Oncology real-World evidence (GROW).ESMO real world data and digital oncology · 2023
    Article
  9. Article
  10. Article
  11. Toward Open and Reproducible Epidemiology.American journal of epidemiology · 2023
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Observational
  17. A Cross-Sectional Study on Canine and Feline Anal Sac Disease.Animals : an open access journal from MDPI · 2021
    Article
  18. The Essential Medicinal Chemistry of Cannabidiol (CBD).Journal of medicinal chemistry · 2020
    Review
  19. Review
  20. 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

5 authors.

Bart HiemstraDepartment of Anesthesiology, University of Groningen, University Medical Center Groningen, Hanzeplein 1, PO Box 30 001, 9700, RB, Groningen, The Netherlands. b.hiemstra01@umcg.nl.ORCID 0000-0001-6547-2138
Frederik KeusDepartment of Critical Care, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Jørn WetterslevThe Copenhagen Trial Unit (CTU), Centre for Clinical Intervention Research, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.
Christian GluudThe Copenhagen Trial Unit (CTU), Centre for Clinical Intervention Research, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.
Iwan C C van der HorstDepartment of Intensive Care, University of Maastricht, Maastricht University Medical Center+, Maastricht, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAll clinical research benefits from transparency and validity. Transparency and validity of studies may increase by prospective registration of protocols and by publication of statistical analysis plans (SAPs) before data have been accessed to discern data-driven analyses from pre-planned analyses. MAIN MESSAGE: Like clinical trials, recommendations for SAPs for observational studies increase the transparency and validity of findings. We appraised the applicability of recently developed guidelines for the content of SAPs for clinical trials to SAPs for observational studies. Of the 32 items recommended for a SAP for a clinical trial, 30 items (94%) were identically applicable to a SAP for our observational study. Power estimations and adjustments for multiplicity are equally important in observational studies and clinical trials as both types of studies usually address multiple hypotheses. Only two clinical trial items (6%) regarding issues of randomisation and definition of adherence to the intervention did not seem applicable to observational studies. We suggest to include one new item specifically applicable to observational studies to be addressed in a SAP, describing how adjustment for possible confounders will be handled in the analyses.

conclusionWith only few amendments, the guidelines for SAP of a clinical trial can be applied to a SAP for an observational study. We suggest SAPs should be equally required for observational studies and clinical trials to increase their transparency and validity.

Indexed as

Data Interpretation, StatisticalObservational Studies as TopicHumansReproducibility of ResultsResearch Design

Identifiers

PMID31818263
PMCPMC6902479

What OpenQuestion holds

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LicenceCC BY
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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.