Evidence map›Paper›PMID 38481909›Full record

ReviewCureus2024

Navigating the Complexity of Scoring Systems in Sepsis Management: A Comprehensive Review.

Venkat Reddy, Harshitha Reddy, Rinkle Gemnani, Sunil Kumar, Sourya Acharya

Open access · diamondAbstract readReview
In one paragraph

Review in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
4.6field-weighted citation impact, top 5% 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

16 citing papers in PubMed, 12 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Venkat ReddyDepartment of General Medicine, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education and Research, Wardha, IND.
Harshitha ReddyDepartment of General Medicine, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education and Research, Wardha, IND.
Rinkle GemnaniDepartment of General Medicine, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education and Research, Wardha, IND.
Sunil KumarDepartment of General Medicine, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education and Research, Wardha, IND.
Sourya AcharyaDepartment of General Medicine, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education and Research, Wardha, IND.
Jawaharlal Nehru Medical College · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This comprehensive review navigates the intricate landscape of sepsis scoring systems, aiming to provide healthcare professionals and researchers with a nuanced understanding of their role in contemporary sepsis management. Beginning with a succinct overview of sepsis, the review emphasizes the significance of scoring systems in standardizing assessments and guiding clinical decision-making. Through a detailed analysis of prominent systems such as SOFA, APACHE, and qSOFA, the review delineates their unique attributes, strengths, and limitations. The implications for sepsis management and patient outcomes are discussed, highlighting the potential for these tools to enhance early detection and intervention. The review concludes with a compelling call to action, urging healthcare professionals to integrate scoring systems into routine practice and researchers to explore novel approaches. By synthesizing current knowledge and addressing future directions, this review serves as a valuable resource for those seeking clarity and guidance in the dynamic landscape of sepsis management.

Indexed as

apacheqsofascoring systemssepsissepsis managementsofa

Identifiers

PMID38481909
PMCPMC10932875
OpenAlexW4391750937

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.