Evidence map›Paper›PMID 41136423›Full record

ArticleScientific data2025

The community acquired pneumonia endotypes and phenotypes dataset.

Natalia Sanabria-Herrera, Esteban Garcia-Gallo, Sara Duque-Vallejo, Cristian Serrano-Mayorga, Ingrid Gisell Bustos, Julián Lozada, Lina Méndez-Castillo, Erica Y Garcia-Garcia, Luis Felipe Reyes

Abstract readDataset
In one paragraph

Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Community-acquiredAnnals of Saudi medicine
    Observational
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.

Natalia Sanabria-HerreraClínica Universidad de la Sabana, Chía, Colombia.
Esteban Garcia-GalloISARIC, Pandemic Sciences Institute, University of Oxford, Oxford, UK.
Sara Duque-VallejoISARIC, Pandemic Sciences Institute, University of Oxford, Oxford, UK.
Cristian Serrano-MayorgaClínica Universidad de la Sabana, Chía, Colombia.
Ingrid Gisell BustosClínica Universidad de la Sabana, Chía, Colombia.
Julián LozadaBiosciences PhD., Engineering faculty, Universidad de La Sabana, Chía, Colombia.
Lina Méndez-CastilloClínica Universidad de la Sabana, Chía, Colombia.
Erica Y Garcia-GarciaClínica Universidad de la Sabana, Chía, Colombia.
Luis Felipe ReyesClínica Universidad de la Sabana, Chía, Colombia. luis.reyes5@unisabana.edu.co.ORCID 0000-0003-1172-6539

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Community-Acquired Pneumonia, Endotypes, and Phenotypes (NACef) Dataset is a single-center dataset that includes clinical information from 768 patients diagnosed with Community-Acquired Pneumonia (CAP) at Clinica Universidad de La Sabana, Colombia. CAP continues to be a prevalent infectious condition linked to high morbidity and mortality rates during hospitalization. To help construct knowledge around this condition, this dataset encompasses Baseline Clinical Data, In-hospital follow-up, and post-hospital discharge information. This repository was captured in a prospective research study, constituting an observational cohort in translational science medicine, as we also collected biological samples to dissect the underlying mechanisms associated with severe CAP. This dataset provides opportunities for diverse statistical analyses and educational initiatives, since it contains robust clinical data and laboratory results from patients diagnosed with CAP, including data regarding COVID-19 infection. Being the first Colombian clinical database available on PhysioNet, it will contribute to a better understanding of CAP, its endotypes, and phenotypes in low- and middle-income countries (LMIC).

Indexed as

Community-Acquired InfectionsPneumoniaColombiaCommunity-Acquired PneumoniaCOVID-19FemaleHumansMaleMiddle AgedPhenotypeProspective Studies

Identifiers

PMID41136423
PMCPMC12552684

What OpenQuestion holds

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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.