Evidence map›Paper›PMID 33527474›Full record

ArticleJournal of medical virology2021

Development and validation of clinical prediction model to estimate the probability of death in hospitalized patients with COVID-19: Insights from a nationwide database.

Ibrahim Halil Tanboğa, Uğur Canpolat, Elif Hande Özcan Çetin, Harun Kundi, Osman Çelik, Murat Çağlayan, Naim Ata, Özcan Özeke, Serkan Çay, Cihangir Kaymaz and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Journal of medical virology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
3.5field-weighted citation impact, top 7% of its field
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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

  1. Pooled it
  2. Observational
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  6. COVIDNearTerm: A simple method to forecast COVID-19 hospitalizations.Journal of clinical and translational science · 2022
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 6 institutions in 2 countries.

Ibrahim Halil TanboğaDepartment of Cardiology, Nişantaşı University & Hisar Intercontinental Hospital, Istanbul, Turkey.ORCID https://orcid.org/0000-0003-4546-9227
Uğur CanpolatDepartment of Cardiology, Hacettepe University, Medical School, Ankara, Turkey.
Elif Hande Özcan ÇetinDepartment of Cardiology, Ankara City Hospital, Ankara, Turkey.
Harun KundiDepartment of Cardiology, Ankara City Hospital, Ankara, Turkey.
Osman ÇelikRepublic of Turkey Ministry of Health, Ankara, Turkey.
Murat ÇağlayanRepublic of Turkey Ministry of Health, Ankara, Turkey.
Naim AtaRepublic of Turkey Ministry of Health, Ankara, Turkey.
Özcan ÖzekeDepartment of Cardiology, University of Health Sciences, Ankara City Hospital, Ankara, Turkey.ORCID https://orcid.org/0000-0002-4770-8159
Serkan ÇayDepartment of Cardiology, University of Health Sciences, Ankara City Hospital, Ankara, Turkey.
Cihangir KaymazDepartment of Cardiology, University of Health Sciences, Kartal Kosuyolu Training and Research Hospital, Istanbul, Turkey.
Serkan TopaloğluDepartment of Cardiology, University of Health Sciences, Ankara City Hospital, Ankara, Turkey.
Ankara University · TRMinistry of Health · TRMemorial Ankara Hospital · TRHacettepe University · TRİstanbul Nişantaşı Üniversitesi · TRSağlık Bilimleri Üniversitesi · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the current study, we aimed to develop and validate a model, based on our nationwide centralized coronavirus disease 2019 (COVID-19) database for predicting death. We conducted an observational study (CORONATION-TR registry). All patients hospitalized with COVID-19 in Turkey between March 11 and June 22, 2020 were included. We developed the model and validated both temporal and geographical models. Model performances were assessed by area under the curve-receiver operating characteristic (AUC-ROC or c-index), R

Indexed as

Models, StatisticalAdultAgedCOVID-19Databases, FactualFemaleHospitalizationHumansMaleMiddle AgedPrognosisReproducibility of ResultsRiskSARS-CoV-2TurkeyCOVID-19mortalityprediction modelsprognosis

Identifiers

PMID33527474
PMCPMC8014660
OpenAlexW3128288966

What OpenQuestion holds

Textmetadata
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.