Evidence map›Paper›PMID 41487096›Full record

ReviewJournal of periodontal research2026

Cross-Sectional Studies: Strengths, Limitations, and Methodological Considerations.

Sebastian-Edgar Baumeister, Thomas Kocher, Panos N Papapanou, Birte Holtfreter, Ryan T Demmer

Abstract readReview
In one paragraph

Review in Journal of periodontal research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

5 authors.

Sebastian-Edgar BaumeisterInstitute of Health Services Research in Dentistry, University of Münster, Münster, Germany.ORCID https://orcid.org/0000-0002-9391-6602
Thomas KocherDepartment of Restorative Dentistry, Periodontology, and Endodontology, University Medicine Greifswald, Greifswald, Germany.ORCID https://orcid.org/0000-0001-9605-2822
Panos N PapapanouDivision of Periodontics, Section of Oral, Diagnostic and Rehabilitation Sciences, College of Dental Medicine, Columbia University, New York, New York, USA.
Birte HoltfreterDepartment of Restorative Dentistry, Periodontology, and Endodontology, University Medicine Greifswald, Greifswald, Germany.ORCID https://orcid.org/0000-0002-6541-3127
Ryan T DemmerDivision of Epidemiology, Department of Quantitative Health Sciences, Mayo Clinic College of Medicine and Science, Rochester, Minnesota, USA.ORCID https://orcid.org/0000-0003-3429-0379

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cross-sectional studies capture health states, exposures, and risk factors at a single time point, providing essential data for estimating disease prevalence and informing public health planning. These studies serve multiple epidemiological purposes: characterizing population health, monitoring temporal trends through repeated surveys, and evaluating interventions via interrupted time series designs. They also offer practical advantages for validating self-reported measures and creating diagnostic models. Cross-sectional designs are efficient and well-suited to descriptive epidemiology, but they have limited utility for causal inference. The simultaneous measurement of exposures and outcomes creates temporal ambiguity that fundamentally constrains etiologic interpretation. However, causal inferences can be strengthened under specific conditions-when temporal sequence is unambiguous (e.g., genetic variants preceding outcomes) or when valid instrumental variables are available. This methodological tutorial equips readers with concepts and tools to critically appraise cross-sectional studies across the application domains outlined and to design and analyze their own cross-sectional studies that yield high-quality epidemiologic descriptions.

Indexed as

Research DesignCross-Sectional StudiesHumanscross‐sectional studyepidemiologyobservational studystudy design

Identifiers

PMID41487096
PMCPMC13665586

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.