Evidence map›Paper›PMID 41626120›Full record

ReviewAsia Oceania journal of nuclear medicine & biology2026

Diagnostic role of hepatobiliary scintigraphy in bile leak evaluation: A systematic review and meta-analysis.

Jasim Jaleel, Mangu Srinivas Bharadwaj, Bangkim Chandra Khangembam, Suhana Sulfiker, Ananthu S J Narayan

Abstract readReview
In one paragraph

Review in Asia Oceania journal of nuclear medicine & biology, 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
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1 · What the graph read from it

What it found

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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

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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

5 authors.

Jasim JaleelDepartment of Nuclear Medicine, Institute of Liver and Biliary Sciences, New Delhi, India.
Mangu Srinivas BharadwajDepartment of Nuclear Medicine, Institute of Liver and Biliary Sciences, New Delhi, India.
Bangkim Chandra KhangembamDepartment of Nuclear Medicine, All India Institute of Medical Sciences, New Delhi, India.
Suhana SulfikerDepartment of Palliative Medicine, All India Institute of Medical Sciences, New Delhi, India.
Ananthu S J NarayanDepartment of Hepatology, Institute of Liver and Biliary Sciences, New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: This study aimed to systematically evaluate the diagnostic accuracy of hepatobiliary scintigraphy (HBS) for detecting bile leaks in post-traumatic and postoperative settings, given the increasing incidence of such complications following hepatobiliary surgeries and abdominal trauma. Methods: A systematic review and meta-analysis were conducted in accordance with the PRISMA guidelines. Literature searches of PubMed, Embase, and Scopus databases were performed through June 19, 2025. Studies were included if they assessed patients with suspected bile leak using HBS and reported sufficient data to construct diagnostic contingency tables. The quality of included studies was assessed using the QUADAS-2 tool. Pooled sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and overall diagnostic accuracy were calculated. Subgroup analyses evaluated diagnostic performance across clinical contexts such as post-trauma, liver transplant/resection, and cholecystectomy. Results: Sixteen studies with 673 patients were included. The pooled sensitivity and specificity of HBS were 0.882 (95% CI: 0.81-0.93) and 0.93 (95% CI: 0.83-0.97), respectively. The pooled PPV was 0.874 and NPV was 0.965, with an area under the SROC curve of 0.94, indicating excellent diagnostic performance. Subgroup analyses showed the highest accuracy in trauma patients, while specificity varied more in postoperative settings, particularly after liver transplant or resection. Conclusion: HBS is a highly sensitive and reliable imaging modality for ruling out bile leaks. While variability in specificity warrants cautious interpretation in complex surgical cases, HBS should be considered a valuable first-line, non-invasive diagnostic tool in evaluating suspected bile leaks.

Indexed as

Bile leakCholecystectomy A B S T R A C TDiagnostic accuracy Abdominal traumaHepatobiliary scintigraphy

Identifiers

PMID41626120
PMCPMC12854172

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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.