Evidence map›Paper›PMID 33024366›Full record

ArticleIndian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine2020

A Good Workman Never Blames His Tools: Appropriate Use of Severity of Illness Scoring Systems Determines Their Utility!

Soonu Udani

Abstract readEditorial
In one paragraph

Article in Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine, 2020. 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. Using Bayesian Hypothesis-testing to Reanalyze Randomized Controlled Trials: Does it Always Tell the Truth, the Whole Truth and Nothing but the Truth?Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2024
    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

1 author.

Soonu UdaniDepartment of Critical Care and Emergency Services, SRCC Children's Hospital-Narayana Health, Mumbai, Maharashtra, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Scoring systems in intensive care units allow assessment of the severity of disease and predicting mortality. They also help in allocation of resources and benchmarking performance when compared to other units and hence to development of skills within a unit. Their use needs to go beyond just mortality prediction and unit statistics. The data collected are useful for resource allocation, unit audits, comparison with local units as well as for quality improvement programs and education. HOW TO CITE THIS ARTICLE: Udani S. A Good Workman Never Blames His Tools: Appropriate Use of Severity of Illness Scoring Systems Determines Their Utility! Indian J Crit Care Med 2020;24(8):628-629.

Indexed as

PELOD 2PICU mortalityQuality improvement

Identifiers

PMID33024366
PMCPMC7519597

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.