Evidence map›Paper›PMID 38021607›Full record

ArticleCureus2023

Predicting Superficial Surgical Site Infections: A Study of the Risk Factors and an Assessment Scale From Western India.

Dharmendra Shah, Renish Padshala, Shivani R Chaudhary, Shahin Khan, Shashwat Mallik, Giustino Varrassi

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Article in Cureus, 2023. 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
0.3field-weighted citation impact, top 36% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

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 at 1 institution in 2 countries.

Dharmendra ShahDepartment of General Surgery, Medical College Baroda, Vadodara, IND.
Renish PadshalaDepartment of General Surgery, Medical College Baroda, Vadodara, IND.
Shivani R ChaudharyDepartment of General Surgery, Medical College Baroda, Vadodara, IND.
Shahin KhanDepartment of General Surgery, Medical College Baroda, Vadodara, IND.
Shashwat MallikDepartment of General Surgery, Medical College Baroda, Vadodara, IND.
Giustino VarrassiDepartment of Pain Medicine, Paolo Procacci Foundation, Rome, ITA.
Sir Sayajirao General Hospital Medical College · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction Superficial surgical site infections (SSSIs) are very common nosocomial infections that can complicate a range of surgeries, resulting in increased morbidity and mortality, and an overall decreased benefit of surgical interventions, along with exorbitant expenditure of healthcare resources. An assessment scale could help in the segregation of the high-risk patient population, and appropriate resources could be directed toward them. Methods A prospective observational study was carried out in a tertiary care hospital in Western India with 200 participants. Certain probable preoperative, intraoperative, and postoperative risk factors for SSSIs were assessed for significance of association, and each patient was given a score according to the assessment scale. The predictive power of the scale was calculated. Results Body mass index (BMI), preoperative laboratory investigations, and preoperative hospital stay showed a significant association with the complication. Clean-contaminated wounds had a higher incidence of postoperative SSSIs as compared to clean wounds. Postoperatively, fever and the presence of open drains predisposed the patient to complications. The assessment scale was found to have a positive predictive value of 40.94% and a negative predictive value (NPV) of 86.30%. Conclusion The factors that could significantly prevent the development of SSSIs are normal preoperative laboratory investigations, less than three days of preoperative hospital stay, and avoiding the use of open drains. The high NPV of the assessment scale means that it can be used as a screening tool to segregate high-risk patients.

Indexed as

assessment scalegeneral surgerypostoperative complicationsurgical site infectionsurgical wound

Identifiers

PMID38021607
PMCPMC10669653
OpenAlexW4387936568

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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.