Evidence map›Paper›PMID 42823587›Full record

ArticleJournal of general internal medicine2026

The Diagnostic Yield of Whole-Body MRI as a Multi-disease Screening Modality: A Systematic Review and Meta-analysis.

Muhammad Danyal Ahsan, Nicole Frontera, Anoop Gurram, Sophia Sharaf, Murtaza Qazi, Dhruv Patel, Karen Yang, Siena Gioia, Isabel R Murray, Rylee McGonigle and 13 more

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of general internal medicine, 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

23 authors.

Muhammad Danyal AhsanWeill Cornell Medicine, New York, NY, USA. mua2023@qatar-med.cornell.edu.ORCID http://orcid.org/0000-0001-8633-8931
Nicole FronteraWeill Cornell Medicine, New York, NY, USA.
Anoop GurramUniversity of Texas Southwestern School of Medicine, Dallas, TX, USA.
Sophia SharafWeill Cornell Medicine, New York, NY, USA.
Murtaza QaziLankenau Medical Center, Penn Wynne, PA, USA.
Dhruv PatelCity University of New York College of Medicine, New York, NY, USA.
Karen YangWeill Cornell Medicine, New York, NY, USA.
Siena GioiaWeill Cornell Medicine, New York, NY, USA.
Isabel R MurrayWeill Cornell Medicine, New York, NY, USA.
Rylee McGonigleWeill Cornell Medicine, New York, NY, USA.
Preethi GunigantiWeill Cornell Medicine, New York, NY, USA.
Katerina DodelzonWeill Cornell Medicine, New York, NY, USA.
Xiaoyue MaWeill Cornell Medicine, New York, NY, USA.
Andrea S KieransWeill Cornell Medicine, New York, NY, USA.
Lisa C DiamondMemorial Sloan Kettering Cancer Center, New York, NY, USA.
Kendra GodwinMemorial Sloan Kettering Cancer Center, New York, NY, USA.
George ShihWeill Cornell Medicine, New York, NY, USA.
Mert SabuncuWeill Cornell Medicine, New York, NY, USA.
Joshua LantosWeill Cornell Medicine, New York, NY, USA.
Keith D HentelWeill Cornell Medicine, New York, NY, USA.
Robert J MinWeill Cornell Medicine, New York, NY, USA.
Melissa K FreyWeill Cornell Medicine, New York, NY, USA.
Ravi N SharafWeill Cornell Medicine, New York, NY, USA.

Funding

Division of Cancer Prevention, National Cancer Institute NIH/NCI Cancer Center Support Grant P30 CA008748.
6 · The paper itself

Abstract

backgroundDisease screening is a mainstay of modern healthcare. Whole-body magnetic resonance imaging (WBMRI) is marketed as a multi-disease screening modality. The diagnostic yield and clinical utility of WBMRI for population-based disease screening are uncertain.

objectivesOur systematic review and meta-analysis aimed to synthesize and critically appraise the available literature on WBMRI without an evidence-based indication. Our objective was to evaluate the diagnostic yield of WBMRI and assess the scope of findings.

designWe conducted a systematic review and meta-analysis searching MEDLINE, Embase, and CENTRAL from inception through August 2025. This review was registered with PROSPERO (No.: CRD42024554848). Prespecified criteria for study inclusion included literature that reported WBMRI findings in a population without an evidence-based indication for WBMRI. Data appraisal was performed by two independent reviewers with summary data extracted from published reports. MAIN MEASURES: Outcomes evaluated included pooled proportions of individuals with no clinical findings reported, any clinical finding, non-malignant actionable findings that required subsequent diagnostic workup, and new cancer diagnoses. KEY

resultsIn a pooled cohort of 18,043 individuals from 17 heterogeneous low-quality studies who underwent WBMRI, 16.9% (95% CI 5.1; 43.7) had no findings reported, while 78.0% (95% CI 44.9; 93.9) had a finding reported. Clinically actionable non-malignant findings were reported in 14.8% (95% CI 6.6-30.0%); 58.2% (95% CI 36.0; 77.5) of these individuals pursued additional laboratory work and/or imaging, and 20.8% (95% CI 9.7; 39.2) pursued a subsequent procedure. The prevalence of malignancy was 1.4% (95% CI 0.9-2.2%). Clinical outcomes associated with discovery of lesions could not be determined.

conclusionsThe majority of WBMRIs performed in a population without an evidence-based indication result in findings that are normal or do not require follow-up. Clinical outcomes associated with discovery of actionable lesions are unknown. High-quality observational data or randomized trials are needed to inform the efficacy of WBMRI for multi-disease screening. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

cancer detectiondiagnostic yieldWBMRI

Identifiers

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.