Evidence map›Paper›PMID 32794640›Full record

ReviewCancer reports (Hoboken, N.J.)2020

Evidence-based statistical analysis and methods in biomedical research (SAMBR) checklists according to design features.

Alok Kumar Dwivedi, Rakesh Shukla

Abstract readReview
In one paragraph

Review in Cancer reports (Hoboken, N.J.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 4 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

34 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Trial
  6. Article
  7. Article
  8. Accelerated 3D MRI for ARIA monitoring in Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
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  10. CK8/18 and Claudin Profile of Female Breast Cancers from Botswana.Breast cancer : basic and clinical research · 2026
    Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Prognostic Value of Right Ventricular Echocardiography on Mortality in Intermediate-Risk Hispanic Patients with Acute Pulmonary Embolism.The International journal of angiology : official publication of the International College of Angiology, Inc · 2025
    Article
  17. Single balloon enteroscopy in the elderly.World journal of gastrointestinal endoscopy · 2025
    Article
  18. Article
  19. Association of Left and Right Branch Blocks with Clinical Outcomes in Patients with Heart Failure with Preserved Ejection Fraction.The International journal of angiology : official publication of the International College of Angiology, Inc · 2025
    Article
  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

2 authors.

Alok Kumar DwivediDivision of Biostatistics and Epidemiology, Department of Molecular and Translational Medicine, Paul L. Foster School of Medicine, Texas Tech University Health Sciences Center El Paso, El Paso, Texas.ORCID 0000-0003-4574-1761
Rakesh ShuklaDivision of Biostatistics and Epidemiology, Department of Environmental Health, University of Cincinnati, Cincinnati, Ohio.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStatistical analysis according to design features and objectives is essential to ensure the validity and reliability of the study findings and conclusions in biomedical research. Heterogeneity in reporting study design elements and conducting statistical analyses is often observed for the same study design and study objective in medical literatures. Sometimes, researchers face a lot of predicaments using appropriate statistical approaches highlighted by methodologists for a specific study design either due to lack of accessibility or understanding of statistical methods or unavailability of checklists related to design and analysis in a concise format. The purpose of this review is to provide the checklist of statistical analysis and methods in biomedical research (SAMBR) to applied researchers. RECENT

findingsWe initially identified the important steps of reporting design features that may influence the choice of statistical analysis in biomedical research and essential steps of data analysis of common studies. We subsequently searched for statistical approaches employed for each study design/study objective available in publications and other resources. Compilation of these steps produced SAMBR guidance document, which includes three parts. Applied researchers can use part (A) and part (B) of SAMBR to describe or evaluate research design features and quality of statistical analysis, respectively, in reviewing studies or designing protocols. Part (C) of SAMBR can be used to perform essential and preferred evidence-based data analysis specific to study design and objective.

conclusionsWe believe that the statistical methods checklists may improve reporting of research design, standardize methodological practices, and promote consistent application of statistical approaches, thus improving the quality of research studies. The checklists do not enforce the use of suggested statistical methods but rather highlight and encourage to conduct the best statistical practices. There is a need to develop an interactive web-based application of the checklists for users for its wide applications.

Indexed as

Biomedical ResearchChecklistData Interpretation, StatisticalResearch DesignHumansReproducibility of Resultschecklistsevidence-based statistical practicestatistical analysisstatistical methods

Identifiers

PMID32794640
PMCPMC7941456

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.