Evidence map›Paper›PMID 42548383›Full record

ArticleCHEST pulmonary2026

Community-Acquired Pneumonia: Disease Course Prediction With a 5-Gene Signature.

Holger Kirsten, Sebastian Weis, Peter Ahnert, Martin Witzenrath, Brendon P Scicluna, Knut Krohn, Michael Rade, Friedemann Horn, Catharina Bertram, Kristin Reiche and 13 more

Registry-linked trialAbstract read
In one paragraph

Article in CHEST pulmonary, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02782013 (Study of Progression of Hospitalized Community Acquired Pneumonia - Genetic Resistance and Susceptibility for the Evolution of Severe Sepsis), which is not on this 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.

NCT02782013 completednot on this map

Study of Progression of Hospitalized Community Acquired Pneumonia - Genetic Resistance and Susceptibility for the Evolution of Severe Sepsis

TypeobservationalSponsorPneumonia Research Network on Genetic Resistance and Susceptibility for the Evolution of Severe SepsRan2009 to 2022Enrolled2,309ConditionsPneumonia, Sepsis, Shock, Septic
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

23 authors.

Holger KirstenInstitute for Medical Informatics, Statistics and Epidemiology (IMISE), Leipzig University, Leipzig, Germany.
Sebastian WeisDepartment of Anesthesiology and Intensive Care Medicine, Jena University Hospital, Friedrich-Schiller-University Jena, Jena, Germany.
Peter AhnertInstitute for Medical Informatics, Statistics and Epidemiology (IMISE), Leipzig University, Leipzig, Germany.
Martin WitzenrathCharité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Infectious Diseases, Respiratory Medicine and Critical Care, Berlin, Germany.
Brendon P SciclunaCentre for Molecular Medicine and Biobanking, University of Malta, Msida, Malta.
Knut KrohnCore Unit DNA Technologies, Medical Faculty, Leipzig University, Leipzig, Germany.
Michael RadeDepartment of Diagnostics, Fraunhofer Institute for Cell Therapy and Immunology, Leipzig, Germany.
Friedemann HornDepartment of Diagnostics, Fraunhofer Institute for Cell Therapy and Immunology, Leipzig, Germany.
Catharina BertramDepartment of Diagnostics, Fraunhofer Institute for Cell Therapy and Immunology, Leipzig, Germany.
Kristin ReicheDepartment of Diagnostics, Fraunhofer Institute for Cell Therapy and Immunology, Leipzig, Germany.
Dennis LöfflerDepartment of Diagnostics, Fraunhofer Institute for Cell Therapy and Immunology, Leipzig, Germany.
Conny BlumertDepartment of Diagnostics, Fraunhofer Institute for Cell Therapy and Immunology, Leipzig, Germany.
Stefan JennerFraunhofer Institute for Interfacial Engineering and Biotechnology, Stuttgart, Germany.
Kai SohnFraunhofer Institute for Interfacial Engineering and Biotechnology, Stuttgart, Germany.
Geraldine NouaillesCharité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Infectious Diseases, Respiratory Medicine and Critical Care, Berlin, Germany.
Michael KiehntopfDepartment of Clinical Chemistry and Laboratory Medicine, Jena University Hospital, Friedrich-Schiller-University Jena, Jena, Germany.
Petra CreutzCharité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Infectious Diseases, Respiratory Medicine and Critical Care, Berlin, Germany.
Maciej RosolowskiInstitute for Medical Informatics, Statistics and Epidemiology (IMISE), Leipzig University, Leipzig, Germany.
Markus LoefflerInstitute for Medical Informatics, Statistics and Epidemiology (IMISE), Leipzig University, Leipzig, Germany.
Norbert SuttorpCharité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Infectious Diseases, Respiratory Medicine and Critical Care, Berlin, Germany.
PROGRESS Study Group
Markus ScholzInstitute for Medical Informatics, Statistics and Epidemiology (IMISE), Leipzig University, Leipzig, Germany.
Michael BauerDepartment of Anesthesiology and Intensive Care Medicine, Jena University Hospital, Friedrich-Schiller-University Jena, Jena, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Clinical decision-making for patients with community-acquired pneumonia (CAP) at risk of organ dysfunction and death is currently guided by clinical evaluation and scores. Every fifth patient with CAP requires admission to the ICU, with a subsequent high mortality; delayed admission to the ICU increases this risk. Research Question: Can a transcriptomic signature improve identification of at-risk patients compared with conventional scores and metrics? Study Design and Methods: Time-course transcriptomic data were obtained from blood samples taken from 455 participants in 41 centers enrolled in the Progression of Community-Acquired Pneumonia in the Hospital (PROGRESS) trial, a prospective observational cohort study of hospitalized patients with CAP who did not initially require organ support. Discovery (n = 240) and validation (n = 215) cohorts were randomly assigned. Transcriptome data were analyzed for association with a severe CAP course, defined as a composite of requirement for ICU admission or 28-day mortality. Predictive performance of the gene expression profiles was compared against clinical scores and serum markers, and validated in publicly available transcriptomic data sets. Results: A 5-gene signature consisting of Interpretation: We identified a 5-gene transcriptomic signature that, taken soon after hospital admission, was shown to predict disease course of hospitalized patients with CAP. STYCK was superior to conventional, currently used scores and clinical metrics in predicting this deterioration and improved, if added to the Sequential Organ Failure Assessment, its performance. Clinical Trial Registration: ClinicalTrials.gov; No.: NCT02782013; URL: www.clinicaltrials.gov.

Indexed as

community-acquired pneumoniagene expressionoutcome predictionprospective studyvalidation

Identifiers

PMID42548383
PMCPMC13418022

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Registered trials

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.