Evidence map›Paper›PMID 30634576›Full record

ArticleJournal of clinical medicine2019

CTLA-4 Genetic Variants Predict Survival in Patients with Sepsis.

Caspar Mewes, Benedikt Büttner, José Hinz, Ayelet Alpert, Aron-Frederik Popov, Michael Ghadimi, Tim Beissbarth, Mladen Tzvetkov, Ole Jensen, Julius Runzheimer and 4 more

Abstract read
In one paragraph

Article in Journal of clinical medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Review
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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

14 authors.

Caspar MewesDepartment of Anesthesiology, University Medical Center, Georg August University, D-37075 Goettingen, Germany. caspar.mewes@med.uni-goettingen.de.ORCID 0000-0002-5538-086X
Benedikt BüttnerDepartment of Anesthesiology, University Medical Center, Georg August University, D-37075 Goettingen, Germany. benedikt.buettner@med.uni-goettingen.de.
José HinzDepartment of Anesthesiology and Intensive Care Medicine, Klinikum Region Hannover, D-30459 Hannover, Germany. jose.hinz@krh.eu.
Ayelet AlpertFaculty of Medicine, Technion⁻Israeli Institute of Technology, 31096 Haifa, Israel. ayelethappy@gmail.com.
Aron-Frederik PopovDepartment of Thoracic and Cardiovascular Surgery, University Medical Center, Eberhard Karls University, D-72076 Tuebingen, Germany. aronf.popov@gmail.com.
Michael GhadimiDepartment of General and Visceral Surgery, University Medical Center, Georg August University, D-37075 Goettingen, Germany. mghadim@med.uni-goettingen.de.
Tim BeissbarthDepartment of Medical Bioinformatics, University Medical Center, Georg August University, D-37077 Goettingen, Germany. tim.beissbarth@ams.med.uni-goettingen.de.
Mladen TzvetkovDepartment of Pharmacology, University Medical Center, Ernst-Moritz-Arndt-University, D-17487 Greifswald, Germany. mladen.tzvetkov@uni-greifswald.de.
Ole JensenDepartment of Clinical Pharmacology, University Medical Center, Georg August University, D-37075 Goettingen, Germany. ole.jensen@stud.uni-goettingen.de.
Julius RunzheimerDepartment of Anesthesiology, University Medical Center, Georg August University, D-37075 Goettingen, Germany. julius.runzheimer@med.uni-goettingen.de.
Michael QuintelDepartment of Anesthesiology, University Medical Center, Georg August University, D-37075 Goettingen, Germany. mquintel@med.uni-goettingen.de.
Shai Shen-OrrFaculty of Medicine, Technion⁻Israeli Institute of Technology, 31096 Haifa, Israel. shenorr@technion.ac.il.ORCID 0000-0002-6991-7736
Ingo BergmannDepartment of Anesthesiology, University Medical Center, Georg August University, D-37075 Goettingen, Germany. ingo.bergmann@med.uni-goettingen.de.
Ashham MansurDepartment of Anesthesiology, University Medical Center, Georg August University, D-37075 Goettingen, Germany. ashham.mansur@med.uni-goettingen.de.ORCID 0000-0002-0322-2480

Funding

Volkswagen Foundation ZN3168
6 · The paper itself

Abstract

Cytotoxic T lymphocyte-associated protein 4 (CTLA-4) is a coinhibitory checkpoint protein expressed on the surface of T cells. A recent study by our working group revealed that the rs231775 single nucleotide polymorphism (SNP) in the CTLA-4 gene was associated with the survival of patients with sepsis and served as an independent prognostic variable. To further investigate the impact of CTLA-4 genetic variants on sepsis survival, we examined the effect of two functional SNPs, CTLA-4 rs733618 and CTLA-4 rs3087243, and inferred haplotypes, on the survival of 644 prospectively enrolled septic patients. Kaplan⁻Meier survival analysis revealed significantly lower 90-day mortality for rs3087243 G allele carriers (

Indexed as

CTLA-4haplotypespredictorssepsissingle nucleotide polymorphismssurvival

Identifiers

PMID30634576
PMCPMC6352177

What Socratic holds

Textmetadata
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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 Socratic graph.