Evidence map›Paper›PMID 38014372›Full record

ArticleBMC digital health2023

Machine learning-based prediction of COVID-19 mortality using immunological and metabolic biomarkers.

Thomas Wetere Tulu, Tsz Kin Wan, Ching Long Chan, Chun Hei Wu, Peter Yat Ming Woo, Cee Zhung Steven Tseng, Asmir Vodencarevic, Cristina Menni, Kei Hang Katie Chan

Abstract read
In one paragraph

Article in BMC digital health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

9 authors.

Thomas Wetere Tulu *Department of Biomedical Sciences, City University of Hong Kong, Hong Kong SAR, China.
Tsz Kin Wan *Department of Electrical Engineering, City University of Hong Kong, Hong Kong SAR, China.
Ching Long Chan *Department of Biomedical Sciences, City University of Hong Kong, Hong Kong SAR, China.
Chun Hei Wu *Department of Biomedical Sciences, City University of Hong Kong, Hong Kong SAR, China.
Peter Yat Ming WooDepartment of Neurosurgery, Kwong Wah Hospital, Hong Kong SAR, China.
Cee Zhung Steven TsengDepartment of Medicine and Geriatrics, Kwong Wah Hospital, Hong Kong SAR, China.
Asmir VodencarevicInnovative Medicines, Novartis Pharma GmbH, 90429 Nuremberg, Germany.
Cristina MenniDepartment of Twin Research, King's College London, London, UK.
Kei Hang Katie ChanDepartment of Biomedical Sciences, City University of Hong Kong, Hong Kong SAR, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Supplementary Information: The online version contains supplementary material available at 10.1186/s44247-022-00001-0.

Indexed as

BiomarkersCOVID-19Deep neural networkMachine learningRandom forest classifier

Identifiers

PMID38014372
PMCPMC9896457

What OpenQuestion holds

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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.