Evidence map›Paper›PMID 42367163›Full record

SynthesisThe Cochrane database of systematic reviews2026

Prognostic models for predicting intensive care unit admission or mortality in critically ill adults not yet been admitted to the intensive care unit.

Aléxia Gabriela Silva Vieira, Ana Carolina Pereira Nunes Pinto, Amanda Alves Assis Garcia, Ricardo Kenji Nawa, Caroline Gomes Mól, Josué Dr Duenas, Álvaro N Atallah, Gentle S Shrestha, Marcus J Schultz, Humberto Saconato and 1 more

Abstract readSystematic Review
In one paragraph

Synthesis in The Cochrane database of systematic reviews, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Aléxia Gabriela Silva VieiraDepartment of Emergency Medicine, Evidence-Based Health Post-Graduation Program, Universidade Federal de São Paulo, São Paulo, Brazil.ORCID https://orcid.org/0000-0002-6048-716X
Ana Carolina Pereira Nunes PintoDepartment of Emergency Medicine, Evidence-Based Health Post-Graduation Program, Universidade Federal de São Paulo, São Paulo, Brazil.
Amanda Alves Assis GarciaDepartment of Emergency Medicine, Evidence-Based Health Post-Graduation Program, Universidade Federal de São Paulo, São Paulo, Brazil.
Ricardo Kenji NawaHospital Israelita Albert Einstein, São Paulo, São Paulo, Brazil.
Caroline Gomes MólHospital Israelita Albert Einstein, São Paulo, São Paulo, Brazil.
Josué Dr DuenasZero Biomedical Research, Quito, Ecuador.
Álvaro N AtallahDepartment of Emergency Medicine, Evidence-Based Health Post-Graduation Program, Universidade Federal de São Paulo, São Paulo, Brazil.
Gentle S ShresthaTribhuvan University Teaching Hospital, Maharajgunj, Kathmandu, Nepal.
Marcus J SchultzDepartment of Anaesthesia, General Intensive Care and Pain Management, Division of Cardiothoracic and Vascular Anaesthesia & Critical Care Medicine, Medical University Wien, Vienna, Austria.
Humberto SaconatoDepartment of Emergency Medicine, Evidence-Based Health Post-Graduation Program, Universidade Federal de São Paulo, São Paulo, Brazil.
Virginia Fm TrevisaniDepartment of Emergency Medicine, Evidence-Based Health Post-Graduation Program, Universidade Federal de São Paulo, São Paulo, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis is a protocol for a Cochrane Review (prognosis). The objectives are as follows: To determine whether prognostic models can be used for predicting the occurrence of ICU admission and mortality within the index hospital admission, and post-discharge survival at reported follow-up time points, up to one year, in critically ill adults not yet admitted to the ICU. The objective in PICOTS format is as follows. POPULATION: critically ill adults not yet admitted to the ICU Index prognostic model: available prognostic models with or without external validation Comparator: not applicable Outcomes: ICU admission, ICU and hospital mortality, and post-discharge survival Timing: for ICU admission or transfer, ICU mortality, and hospital mortality outcomes, the timing will be in hospital. For post-discharge survival, the timing will be up to 28 days, 1 to 3 months, 6 months, and 1 year after hospital discharge.

settingacute hospital wards and emergency care departments.

Indexed as

Critical IllnessHospital MortalityIntensive Care UnitsPatient AdmissionHumansPrognosis

Identifiers

PMID42367163
PMCPMC13312402

What OpenQuestion holds

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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.