Evidence map›Paper›PMID 39262565›Full record

ArticleCureus2024

Comparison of the Incidence of Surgical Site Infection in Abdominal Wound Closure: Antibiotic-Coated Polyglactin 910 Suture Versus Polyglactin Suture With Local Infiltration of Antibiotic Along the Incision Line.

Chhavindar Singh, Prakhar Pratap, Rahul Singh, Vinod K Pandey

Abstract read
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Chhavindar SinghGeneral Surgery, Motilal Nehru Medical College, Allahabad, Allahabad, IND.
Prakhar PratapGeneral Surgery, Motilal Nehru Medical College, Allahabad, Allahabad, IND.
Rahul SinghGeneral Surgery, Motilal Nehru Medical College, Allahabad, Allahabad, IND.
Vinod K PandeyGeneral Surgery, Motilal Nehru Medical College, Allahabad, Allahabad, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim and objectives The purpose of this study is to compare the incidence of surgical site infection (SSI) rates in abdominal wound closure utilizing antibacterial-coated (triclosan-coated) suture material versus conventional suture material with subcutaneous antibacterial infiltration along the incision line. Materials and method This prospective and comparative (randomized, non-blinded clinical trial) was conducted at the Postgraduate Department of Surgery, Swaroop Rani Nehru Hospital, associated with Motilal Nehru Medical College, Prayagraj, India. The sample size was calculated to be one hundred. The patients in Group A underwent laparotomy using polyglactin 910 coated with triclosan. The patients in Group B underwent normal suture closure and local infiltration of broad-spectrum antibiotics (1 gram of ceftriaxone in 10 ml distilled water, along with the incision). Results There was no discernible difference between the various groups on postoperative day (POD) 14, 21, and 30. In Group A, 100.0% of individuals had healed wound status (POD 30). Group B had healed wound status among the 96.0% of members (POD 30). Twenty percent of the people in Group A had SSI whereas 38.0% of the participants in Group B had SSI. There was no discernible difference between the two groups regarding the distribution of culture (χ² = 7.741, p = 0.127). Conclusion Triclosan-coated sutures are more effective than subcutaneous antibiotic infiltration along the incision line in lowering the frequency of SSI during primary laparotomy wound closure.

Indexed as

antibiotic infiltrationlaparotomypolyglactin 910surgical site infectiontriclosan

Identifiers

PMID39262565
PMCPMC11387516

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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.