Evidence map›Paper›PMID 26730023›Full record

ArticleThe Indian journal of surgery2015

Necrotizing Fasciitis: A Study of 48 Cases.

Gurjit Singh, Pragnesh Bharpoda, Raghuveer Reddy

Open access · bronzeAbstract read
In one paragraph

Article in The Indian journal of surgery, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.3field-weighted citation impact, top 30% 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

10 citing papers in PubMed, 24 citations in OpenAlex.

  1. Multifocal necrotizing fasciitis: what makes it different? A German trauma center experience.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2026
    Article
  2. Article
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  5. Review
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  7. Review
  8. Total body necrotizing fasciitis.Proceedings (Baylor University. Medical Center) · 2019
    Article
  9. Article
  10. 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

3 authors at 1 institution in 1 country.

Gurjit SinghDepartment of Surgery, Padmashree Dr. D.Y. Patil Hospital and Medical College, S.T. Nagar, Pimpri, Pune, Maharashtra 411018 India.
Pragnesh BharpodaDepartment of Surgery, Padmashree Dr. D.Y. Patil Hospital and Medical College, S.T. Nagar, Pimpri, Pune, Maharashtra 411018 India.
Raghuveer ReddyDepartment of Surgery, Padmashree Dr. D.Y. Patil Hospital and Medical College, S.T. Nagar, Pimpri, Pune, Maharashtra 411018 India.
Dr. D. Y. Patil Medical College, Hospital and Research Centre · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Necrotizing fasciitis represents a group of highly lethal infections characterized by rapidly progressing inflammation and necrosis. The aim of the study was to analyze the clinical profile, microbial flora, and predisposing risk factors in patients with necrotizing fasciitis. Lastly, we aimed to formulate a protocol for management of necrotizing fasciitis. Forty-eight cases of necrotizing fasciitis patients who reported to our hospital between April 2007 and September 2009 were included in the study. The commonest predisposing factors were age greater than 50 years (58 % cases) and diabetes mellitus (52 % cases). The commonest site involved was extremity (70.8 %). Majority of infections were polymicrobial (87.5 %). Repeated aggressive debridement was the commonest surgical procedure performed. Early and aggressive surgical debridement, often in multiple sittings, supplemented by appropriate antibiotics and supportive therapy, forms the key to a successful outcome in necrotizing fasciitis.

Indexed as

Necrotizing fasciitisSurgical debridements

Identifiers

PMID26730023
PMCPMC4692953
OpenAlexW2039919829

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.