Evidence map›Paper›PMID 40978630›Full record

ArticleBioinformation2025

Prediction of post-operative complications among diabetic patients undergoing major surgery using biomarkers.

Jekee Patel, Parin Patel, Himarshi Upadhyay, Falak Saiyed, Huma Saiyad, Swarnim Rathod

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Bioinformation, 2025. 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

6 authors.

Jekee PatelDepartment of Surgery, GMERS Medical College and Hospital, Vadnagar, Gujarat, India.
Parin PatelDepartment of General Surgery, Health 1 Super Specialty Hospital, Ahmedabad, Gujarat, India.
Himarshi UpadhyayDepartment of Internal Medicine, GMERS Medical College and Hospital, Vadnagar, Gujarat, India.
Falak SaiyedDepartment of Medicine, NHL Municipal Medical College, Ahmedabad, Gujarat, India.
Huma SaiyadDepartment of Medicine, BJ Medical College, Ahmedabad, Gujarat, India.
Swarnim RathodHouse Officer cum Tutor, GMERS Medical College and Hospital, Vadnagar, Gujarat, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Evaluation of pre-operative HbA1c, CRP, IL-6, and procalcitonin levels among 150 diabetic patients undergoing major surgery is of interest. Elevated HbA1c (>8%) and CRP were strongly associated with postoperative complications such as wound infections and prolonged ICU stay. IL-6 and procalcitonin show moderates predictive accuracy for systemic inflammation. Biomarker profiling proved useful for identifying high-risk patients. Incorporating these tests can improve surgical planning and postoperative care.

Indexed as

BiomarkersC-reactive proteinDiabetes mellitusHbA1cIL-6Postoperative complicationsProcalcitoninSurgical risk assessment

Identifiers

PMID40978630
PMCPMC12449550

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