Evidence map›Paper›PMID 39768627›Full record

ArticleJournal of clinical medicine2024

Predicting Intensive Care Unit Admission in COVID-19-Infected Pregnant Women Using Machine Learning.

Azamat Mukhamediya, Iliyar Arupzhanov, Amin Zollanvari, Saule Zhumambayeva, Kamalzhan Nadyrov, Zaituna Khamidullina, Karina Tazhibayeva, Aigul Myrzabekova, Kulyash K Jaxalykova, Milan Terzic and 9 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of clinical medicine, 2024. 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. 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

19 authors.

Azamat MukhamediyaDepartment of Electrical and Computer Engineering, School of Engineering and Digital Sciences, Nazarbayev University, Astana 010000, Kazakhstan.ORCID 0000-0001-5190-6847
Iliyar ArupzhanovDepartment of Electrical and Computer Engineering, School of Engineering and Digital Sciences, Nazarbayev University, Astana 010000, Kazakhstan.
Amin ZollanvariDepartment of Electrical and Computer Engineering, School of Engineering and Digital Sciences, Nazarbayev University, Astana 010000, Kazakhstan.
Saule ZhumambayevaAstana Medical University, Astana 010000, Kazakhstan.
Kamalzhan NadyrovAstana Medical University, Astana 010000, Kazakhstan.
Zaituna KhamidullinaAstana Medical University, Astana 010000, Kazakhstan.
Karina TazhibayevaAstana Medical University, Astana 010000, Kazakhstan.ORCID 0000-0002-5892-1860
Aigul MyrzabekovaAstana Medical University, Astana 010000, Kazakhstan.ORCID 0000-0002-8701-2471
Kulyash K JaxalykovaAstana Medical University, Astana 010000, Kazakhstan.
Milan TerzicDepartment of Surgery, School of Medicine, Nazarbayev University, Astana 010000, Kazakhstan.ORCID 0000-0003-3914-5154
Gauri BapayevaClinical Academic Department of Women's Health, Corporate Fund "University Medical Center", Astana 010000, Kazakhstan.
Saltanat KulbayevaDepartment of Obstetrics and Gynecology, South Kazakhstan Medical Academy, Shymkent 160000, Kazakhstan.
Gulzhan Narkenovna AbuovaShymkent City Infectious Disease Hospital, Shymkent 160000, Kazakhstan.ORCID 0000-0002-1210-2018
Baktigali Aubayevich ErezhepovShymkent City Infectious Disease Hospital, Shymkent 160000, Kazakhstan.
Asselzhan SarbalinaUniversity of Oxford, Oxford OX3 9DU, UK.ORCID 0009-0001-8300-7392
Aigerim SipenovaDepartment of Biomedical Sciences, School of Medicine, Nazarbayev University, Astana 010000, Kazakhstan.
Kymbat MukhtarovaDepartment of Biomedical Sciences, School of Medicine, Nazarbayev University, Astana 010000, Kazakhstan.ORCID 0000-0003-0498-2876
Ghazal GhahramanyDepartment of Biomedical Sciences, School of Medicine, Nazarbayev University, Astana 010000, Kazakhstan.
Antonio Sarria-SantameraDepartment of Biomedical Sciences, School of Medicine, Nazarbayev University, Astana 010000, Kazakhstan.ORCID 0000-0001-5734-7468

Funding

Nazarbayev University NU 021220CRP0822
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

COVID-19feature importanceintensive care unit admissionmachine learningpregnancy

Identifiers

PMID39768627
PMCPMC11677355

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.