Evidence map›Paper›PMID 37982832›Full record

SynthesisAbdominal radiology (New York)2024

A meta-analysis of the performance of ultrasound, hepatobiliary scintigraphy, CT and MRI in the diagnosis of acute cholecystitis.

David D Childs, Neeraj Lalwani, Timothy Craven, Hina Arif, Mathew Morgan, Mark Anderson, Ann Fulcher

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Abdominal radiology (New York), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.3field-weighted citation impact, top 10% of its field
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

6 citing papers in PubMed, 9 citations in OpenAlex.

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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

7 authors at 5 institutions in 1 country.

David D ChildsDepartment of Radiology, Wake Forest University School of Medicine, Winston-Salem, NC, USA. dchilds@wakehealth.edu.ORCID http://orcid.org/0000-0003-3313-880X
Neeraj LalwaniDepartment of Radiology, Virginia Commonwealth University Health, Richmond, VA, USA.
Timothy CravenDepartment of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
Hina ArifDepartment of Medical Imaging, College of Medicine, The University of Arizona, Tucson, AZ, USA.
Mathew MorganDepartment of Radiology, University of Pennsylvania Health System, Philadelphia, PA, USA.
Mark AndersonDepartment of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Ann FulcherDepartment of Radiology, Virginia Commonwealth University Health, Richmond, VA, USA.
Virginia Commonwealth University · USWake Forest University · USHarvard University · USUniversity of Arizona · USUniversity of Pennsylvania Health System · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo evaluate the recently reported relative diagnostic accuracy of US, CT, MRI, and cholescintigraphy for diagnosing acute cholecystitis.

methods2 radiologists independently performed systematic electronic searches for articles published between 2000 and 2021 and applied inclusion/exclusion criteria. 2 different radiologists extracted data from the articles and scored each with a methodological quality tool. Pooled estimates of sensitivity and specificity were calculated with a bivariate linear mixed model. A second analysis made head-to-head comparisons (US vs. CT, US vs. cholescintigraphy). Factors were also analyzed for potential confounding effects on diagnostic accuracy.

resultsOf 6121 initial titles, 22 were included. The prevalence of cholecystitis varied widely across studies (9.4-98%). Pooled sensitivity and specificity estimates were 69% (confidence limit [CL] 62-76%) and 79% (CL 71-86%) for US, 91% (CL 86-94%) and 63% (CL 51-74%) for cholescintigraphy, 78% (CL 69-84%) and 81% (CL 71-88%) for CT, and 91% (CL 78-97%) and 93% (CL 70-99%) for MRI. Regarding head-to-head comparisons, the sensitivity of CT (87.6%, CL 70-96%) was significantly higher than US (66.8%, CL 43-84%), while specificities (81.7% with CL 54-95% for US, 91.9% with CL 67-99% for CT) were similar. The sensitivity of cholescintigraphy (87.4%, CL 76-94%) was significantly greater than US (61.6%, CL 44-77%), while the specificity of US (82%, CL 65-92%) was significantly higher than cholescintigraphy (68%, CL 47-84%).

conclusionRecent data suggests that CT may have a higher sensitivity than US for diagnosing acute cholecystitis, with similar specificity. Cholescintigraphy remains a highly sensitive modality with lower specificity than previously reported. MRI remains under studied, but with promising results.

Indexed as

Cholecystitis, AcuteHumansMagnetic Resonance ImagingRadionuclide ImagingSensitivity and SpecificityTomography, X-Ray ComputedUltrasonographyCholecystitisCholescintigraphyCTMeta-analysisMRIUS

Identifiers

PMID37982832
OpenAlexW4388830367

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.