Evidence map›Paper›PMID 39534817›Full record

ArticleCureus2024

Postoperative Sinus Tract: A Rare Occurrence Following Laparoscopic Cholecystectomy.

Vinayak V Kshirsagar, Rushi Kanani, Prashanth I Am, Hima Shree

Abstract readCase Reports
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. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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

4 authors.

Vinayak V KshirsagarDepartment of General Surgery, Dr. D.Y. Patil Medical College, Hospital and Research Centre, Dr. D.Y. Patil Vidyapeeth (Deemed to be University), Pune, IND.
Rushi KananiDepartment of General Surgery, Dr. D.Y. Patil Medical College, Hospital and Research Centre, Dr. D.Y. Patil Vidyapeeth (Deemed to be University), Pune, IND.
Prashanth I AmDepartment of General Surgery, Dr. D.Y. Patil Medical College, Hospital and Research Centre, Dr. D.Y. Patil Vidyapeeth (Deemed to be University), Pune, IND.
Hima ShreeDepartment of General Surgery, Dr. D.Y. Patil Medical College, Hospital and Research Centre, Dr. D.Y. Patil Vidyapeeth (Deemed to be University), Pune, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A sinus tract is a rare clinical condition characterized by a blind-ended tubular structure extending from deeper tissues to the skin, commonly occurring postoperatively, especially after gastrointestinal surgeries. Its pathogenesis often involves the breakdown of fatty tissue, pyogenic infections, or the retention of foreign bodies such as surgical implants or sutures. One notable scenario includes sinus tract formation following laparoscopic cholecystectomy due to retained gallstones. Chronic cases are often associated with inadequate drainage of inflamed tissues, leading to granulation and subsequent scar tissue formation. In our case, a 34-year-old male presented with persistent discharge from the infraumbilical region for three months, accompanied by intermittent low-grade fever over the preceding two days and continuous lower abdominal pain. The patient had no significant comorbidities or harmful habits but had undergone a laparoscopic cholecystectomy six years earlier. Ultrasonography (USG) revealed an area of subcutaneous fat liquefaction in the left lumbar region, along with an extraperitoneal fistulous tract draining into the suprapubic region. The patient was treated surgically through sinus tract excision.

Indexed as

abdominal surgerychronic inflammationgranulation tissuelaparoscopic cholecystectomypostoperative complicationsinus tract

Identifiers

PMID39534817
PMCPMC11554553

What OpenQuestion holds

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Registered trials

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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.