Evidence map›Paper›PMID 34820169›Full record

ArticlePeerJ2021

Performance in mortality prediction of SAPS 3 And MPM-III scores among adult patients admitted to the ICU of a private tertiary referral hospital in Tanzania: a retrospective cohort study.

Nadeem Kassam, Eric Aghan, Samina Somji, Omar Aziz, James Orwa, Salim R Surani

Abstract read
In one paragraph

Article in PeerJ, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

6 authors.

Nadeem KassamInternal Medicine, Aga Khan University, Dar-es-Salaam, Tanzania.
Eric AghanFamily Medicine, Aga Khan University, Dar-es-Salaam, Tanzania.
Samina SomjiInternal Medicine, Aga Khan University, Dar-es-Salaam, Tanzania.
Omar AzizInternal Medicine, Aga Khan University, Dar-es-Salaam, Tanzania.
James OrwaPopulation Health, Aga Khan University, Nairobi, Kenya.
Salim R SuraniMedicine & Pharmacy, Texas A&M University, Texas, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIllness predictive scoring systems are significant and meaningful adjuncts of patient management in the Intensive Care Unit (ICU). They assist in predicting patient outcomes, improve clinical decision making and provide insight into the effectiveness of care and management of patients while optimizing the use of hospital resources. We evaluated mortality predictive performance of Simplified Acute Physiology Score (SAPS 3) and Mortality Probability Models (MPM

methodsThis was a retrospective cohort study of adult patients admitted to the ICU of the Aga Khan Hospital, Dar- es- Salaam, Tanzania between August 2018 and April 2020. Demographics, clinical characteristics, outcomes, source of admission, primary admission category, length of stay and the support provided with the worst physiological data within the first hour of ICU admission were extracted. SAPS 3 and MPM

resultsA total of 331 patients were enrolled in the study with a median age of 58 years (IQR 43-71), most of whom were male (

conclusionBoth SAPS 3 and MPM

Indexed as

ICUMortalityMPM-IIIPerformanceSAPS 3Tanzania

Identifiers

PMID34820169
PMCPMC8603815

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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.