Evidence map›Paper›PMID 42692522›Full record

ArticleBMJ open2026

Pooled prevalence, risk factors and barriers to care for hepatitis C virus (HCV) in adults with serious mental illness (SMI): an updated systematic review and meta-analysis - protocol.

Saba Maryam, Mehreen Noor, Afifa Kulsoom

Abstract read
In one paragraph

Article in BMJ open, 2026. 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

3 authors.

Saba MaryamDepartment of Community Medicine & Public Health, Rawalpindi Medical University, Rawalpindi, Pakistan sabamaryam9494@gmail.com.ORCID 0009-0009-0672-4791
Mehreen NoorDepartment of Community Medicine & Public Health, Rawalpindi Medical University, Rawalpindi, Pakistan.ORCID 0009-0007-8036-5446
Afifa KulsoomDepartment of Community Medicine & Public Health, Rawalpindi Medical University, Rawalpindi, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe hepatitis C virus (HCV) is a significant healthcare burden across the globe and is a major cause of liver malignancies. However, patients with serious mental illness (SMI) living with HCV are disproportionately affected and underserved within the current care framework. A previous meta-analysis on this topic yielded a prevalence of 8%, which is considerably higher than that observed in the broader population. Since the original review was published in early 2022, an update is required to incorporate data published during and after the COVID-19 pandemic and to evaluate its effect on overall prevalence and care. METHODOLOGY: This systematic review and meta-analysis will replicate the methodology of the original review. To ensure a thorough investigation, a systematic search strategy will be implemented across PubMed, Google Scholar, Scopus, Cumulative Index to Nursing and Allied Health Literature (CINAHL), Embase and Web of Science to include studies published from 2 July 2020 to 22 June 2026. The review will include prospective observational and retrospective cross-sectional studies conducted among adults aged over 18 years with a verified SMI diagnosis and laboratory-confirmed HCV status. A dual-reviewer protocol will be employed to evaluate all retrieved titles, abstracts and full-text manuscripts to ensure unbiased selection. Any disagreements will be adjudicated by a third senior investigator. Methodological rigour will be assessed using the Joanna Briggs Institute (JBI) Critical Appraisal Checklist for Prevalence Studies Quality Assessment Tool for Systematic Reviews of Observational Studies. This validated instrument will ensure transparency and standardised quality assessment and will be supplemented by a customised 3-point global assessment. A Generalised Linear Mixed Model (GLMM) with a logit transformation will be used for the meta-analytical synthesis to effectively account for expected heterogeneity and extreme proportions, while the degree of inconsistency across studies will be quantified using the I ETHICS AND DISSEMINATION: Formal ethical clearance is not required for this study, as it relies entirely on the synthesis of secondary data from published articles. PROSPERO REGISTRATION NUMBER: CRD420261331799.

Indexed as

COVID-19Health Services AccessibilityHepatitis CMental DisordersAdultHumansMeta-Analysis as TopicPrevalenceResearch DesignRisk FactorsSystematic Reviews as TopicGASTROENTEROLOGYPSYCHIATRYPUBLIC HEALTHSchizophrenia & psychotic disorders

Identifiers

PMID42692522
PMCPMC13548204

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.