Evidence map›Paper›PMID 38966458›Full record

ArticleCureus2024

Enhancing Early Detection of Necrotizing Soft Tissue Infections: The Role of the Laboratory Risk Indicator for Necrotizing Fasciitis (LRINEC) Score.

Satya S Bhat, Pallavi H R, Shanmukha Koppolu, Mohammed M Ahmed, Aparnna U Nair, Madhusudhanan D, Naveenkumar Nallathambi, Yogesh S, Prashanth A, Roshan Prasad and 1 more

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. Review
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

11 authors.

Satya S BhatInternal Medicine, Cardiff and Vale University Health Board, Cardiff, GBR.
Pallavi H RGeneral Surgery, Adichunchanagiri Institute of Medical Sciences, B.G. Nagara, IND.
Shanmukha KoppoluInternal Medicine, Cardiff and Vale University Health Board, Cardiff, GBR.
Mohammed M AhmedUrology, Queen Alexandra Hospital, Portsmouth, GBR.
Aparnna U NairInternal Medicine, Altnagelvin Area Hospital, Londonderry, GBR.
Madhusudhanan DGeneral Surgery, Hindu Mission Hospital, Chennai, IND.
Naveenkumar NallathambiInternal Medicine, Madras Medical College, Chennai, IND.
Yogesh SInternal Medicine, Madras Medical College, Chennai, IND.
Prashanth APhysiology, Mahatma Gandhi Institute of Medical Sciences, Wardha, IND.
Roshan PrasadMedicine and Surgery, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education and Research, Wardha, IND.
Gaurav MittalInternal Medicine, Mahatma Gandhi Institute of Medical Sciences, Wardha, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background There is great variation in the etiology, predisposing organisms, incidence, clinical characteristics, severity, and consequences of skin and/or subcutaneous tissue infections. Extensive necrosis of the subcutaneous tissues and fascia is a characteristic of necrotizing soft tissue infections, which are frequently deadly. To change the course of treatment, this study highlights the need to find a tool that can quickly and accurately identify patients with necrotizing fasciitis (NF) and assist in making an early treatment decision. Methodology A prospective evaluation of 30 individuals with soft tissue infections was conducted using the laboratory risk indicator for necrotizing fasciitis (LRINEC). The patients were classified as low, intermediate, and high risk for the start of NF based on their LRINEC score. To assess the importance of the LRINEC score in forecasting the start of NF and its clinical consequences, patients in each group underwent appropriate management and statistical analysis. Results This study included 28 males (93.3%) and two females (6.7%). The associated p-value, recorded as 0.039, signifies statistical significance in the observed area under the receiver operating characteristic (ROC) curve. The p-value in risk categorization was found to be 0.296, which suggests that LRINEC helps in risk categorization with 100% sensitivity when used as a screening tool. Conclusion The early detection of necrotizing soft tissue infections, such as NF, is vital. The LRINEC score, based on routine lab tests, accurately distinguishes these infections. With high sensitivity and significant p-values, it helps stratify patients, guiding timely interventions and saving lives.

Indexed as

assessmentearly diagnosisinfectionslrinecmortalitynecrotizing fasciitisskin disease

Identifiers

PMID38966458
PMCPMC11223662

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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.