Evidence map›Paper›PMID 42282310›Full record

ArticleBioinformation2026

Patient selection in non-operative blunt splenic injury management: A comparative evaluation of MDCT grading systems.

Prashant Vekariya, Pranav H Merchant, Aftab Hossain

Abstract read
In one paragraph

Article in Bioinformation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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.

Prashant VekariyaDepartment of Radiodiagnosis, Dr. ND Desai Faculty of Medical Science and Research, Dharmsinh Desai University, Nadiad, Gujarat, India.
Pranav H MerchantDepartment of Radiology, Government Medical College, Miraj, Maharashtra, India.
Aftab HossainDepartment of Trauma Surgery and Critical Care, All India Institute of Medical Sciences, Jodhpur, Rajasthan, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Blunt splenic trauma requires accurate MDCT grading for nonoperative management (NOM) success, yet existing morphology-based systems often fail to account for vascular injuries and hemoperitoneum volume that predict treatment failure. Therefore, it is of interest to evaluate 200 MDCT-scanned patients, comparing grading scales with NOM outcomes, including surgery rates, transfusions, hospital stay, and complications, across injury severities. Higher injury grades, contrast extravasation, large hemoperitoneum, and vascular lesions strongly correlated with NOM failure and adverse events in multivariate analysis. Grading incorporating quantitative hemoperitoneum and vascular markers outperformed traditional morphology-only systems in predictive accuracy for clinical decision-making. Thus, we document integrated MDCT parameters as essential for optimizing NOM selection, thereby reducing unnecessary surgeries and improving risk stratification in splenic trauma care.

Indexed as

multidetector computed tomographySplenic injuryvascular injuries

Identifiers

PMID42282310
PMCPMC13252292

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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.