ArticleMethodsX2024
Risk of bias in cross-sectional studies: Protocol for a scoping review of concepts and tools.
Article in MethodsX, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 5 of them syntheses that pooled 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.
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.
Who cites it
8 citing papers in PubMed, 5 syntheses or guidelines pooled it.
- Meta-Analysis on the effect of Tai Chi Chuan on Human Biomechanics and Health from (2021-2025).Saudi medical journal · 2026Pooled it
- Radiologic-Pathologic Discordance After Image-Guided Breast Biopsy: A Systematic Review of Prevalence and Outcomes.Medical sciences (Basel, Switzerland) · 2026Pooled it
- Buccal versus Vaginal Graft Urethroplasty in Female Urethral Stricture: A Systematic Review and Meta-Analysis.International urogynecology journal · 2025Pooled it
- Is stress different in infertile women and men? A systematic review and meta-analysis.BMC public health · 2025Pooled it
- C-Terminal Agrin Fragment as a Biomarker for Sarcopenia: A Systematic Review and Meta-Analysis.Journal of cachexia, sarcopenia and muscle · 2025Pooled it
- Irritable bowel syndrome and restless legs syndrome: a narrative review of epidemiological and pathophysiological overlap.Annals of medicine and surgery (2012) · 2026Review
- Phubbing and Loneliness in the Digital Age: A Daily Diary Study on the Mediating Role of Fear of Missing Out.Journal of adolescence · 2026Article
- Prevalence, risk factors, and metabolic implications of alcohol use disorders among male workers in Hebei Province, China: a cross-sectional study.Substance abuse treatment, prevention, and policy · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cross-sectional studies are commonly used to study human health and disease, but are especially susceptible to bias. This scoping review aims to identify and describe available tools to assess the risk of bias (RoB) in cross-sectional studies and to compile the key bias concepts relevant to cross-sectional studies into an item bank. Using the JBI scoping review methodology, the strategy to locate relevant RoB concepts and tools is a combination of database searches, prospective review of PROSPERO registry records; and consultation with knowledge users and content experts. English language records will be included if they describe tools, checklists, or instruments which describe or permit assessment of RoB for cross-sectional studies. Systematic reviews will be included if they consider eligible RoB tools or use RoB tools for RoB of cross-sectional studies. All records will be independently screened, selected, and extracted by one researcher and checked by a second. An analytic framework will be used to structure the extraction of data. Results for the scoping review are pending. Results from this scoping review will be used to inform future selection of RoB tools and to consider whether development of a new RoB tool for cross-sectional studies is needed.
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What OpenQuestion holds
Registered trials
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.