Evidence map›Paper›PMID 33134944›Full record

ArticleCritical care explorations2020

Clinical Risk Prediction Scores in Coronavirus Disease 2019: Beware of Low Validity and Clinical Utility.

Haamed Al Hassan, Eve Cocks, Lara Jesani, Sally Lewis, Tamas Szakmany

Abstract read
In one paragraph

Article in Critical care explorations, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Predicting the outcome of death by CALL Score in COVID-19 patients.Revista da Associacao Medica Brasileira (1992) · 2024
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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.

Haamed Al HassanCardiff and Vale University Health Board, Cardiff, United Kingdom, and Department of Anaesthesia, Intensive Care and Pain Medicine, Division of Population Medicine, Cardiff University, Cardiff, United Kingdom.
Eve CocksCritical Care Directorate, Aneurin Bevan University Health Board, Newport, United Kingdom.
Lara JesaniCritical Care Directorate, Aneurin Bevan University Health Board, Newport, United Kingdom.
Sally LewisValue Based Healthcare Team, Aneurin Bevan University Health Board, Newport, United Kingdom.
Tamas SzakmanyDepartment of Anaesthesia, Intensive Care and Pain Medicine, Division of Population Medicine, Cardiff University, Cardiff, United Kingdom and Critical Care Directorate, Aneurin Bevan University Health Board, Newport, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Several risk stratification tools were developed to predict disease progression in coronavirus disease 2019, with no external validation to date. We attempted to validate three previously published risk-stratification tools in a multicenter study. Primary outcome was a composite outcome of development of severe coronavirus disease 2019 disease leading to ICU admission or death censored at hospital discharge or 30 days. We collected data from 169 patients. Patients were 73 years old (59-82 yr old), 66 of 169 (39.1%) were female, 57 (33.7%) had one comorbidity, and 80 (47.3%) had two or more comorbidities. Area under the receiver operating characteristic curve (95% CI) for the COVID-GRAM score was 0.636 (0.550-0.722), for the CALL score 0.500 (0.411-0.589), and for the nomogram 0.628 (0.543-0.714).

Indexed as

calibrationcoronavirus disease 2019risk stratificationvalidation

Identifiers

PMID33134944
PMCPMC7581153

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.