Evidence map›Paper›PMID 29089730›Full record

ArticleNigerian journal of surgery : official publication of the Nigerian Surgical Research Society

Clinical Presentation of Soft-tissue Infections and its Management: A Study of 100 Cases.

Baldev Singh, Sukha Singh, Sudhir Khichy, Avinash Ghatge

Abstract read
In one paragraph

Article in Nigerian journal of surgery : official publication of the Nigerian Surgical Research Society. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Investigation of the effects of clinical parameters on mortality in patients with necrotizing fasciitis.Ulusal travma ve acil cerrahi dergisi = Turkish journal of trauma & emergency surgery : TJTES · 2023
    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.

Baldev SinghDepartment of Surgery, Government Medical College, Amritsar, Punjab, India.
Sukha SinghDepartment of Surgery, Government Medical College, Amritsar, Punjab, India.
Sudhir KhichyDepartment of Surgery, Government Medical College, Amritsar, Punjab, India.
Avinash GhatgeDepartment of Surgery, Government Medical College, Amritsar, Punjab, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSoft-tissue infections vary widely in their nature and severity. A clear approach to the management must allow their rapid identification and treatment as they can be life-threatening.

objectiveClinical presentation of soft-tissue infections and its management. MATERIALS AND

methodsA prospective study based on 100 patients presenting with soft-tissue infections was done. All the cases of soft-tissue infections were considered irrespective of age, sex, etiological factors, or systemic disorders. The findings were evaluated regarding the pattern of soft-tissue infections in relation to age and sex, clinical presentation, complications, duration of hospital stay, management, and mortality.

resultsThe most commonly involved age group was in the range of 41-60 years with male predominance. Abscess formation (45%) was the most common clinical presentation. Type 2 diabetes mellitus was the most common associated comorbid condition.

conclusionSkin and soft-tissue infections are among the most common infections encountered by the emergency physicians. Ignorance, reluctance to treatment, economic constraints, and illiteracy delay the early detection and the initiation of proper treatment. Adequate and timely surgical intervention in most of the cases is of utmost importance to prevent the complications and reduce the mortality.

Indexed as

Clinicaletiologymanagementoutcomessoft-tissue infections

Identifiers

PMID29089730
PMCPMC5649435

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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.