Evidence map›Paper›PMID 36410024›Full record

ArticleAmerican journal of physiology. Lung cellular and molecular physiology2023

Post hoc survival analyses using RNAseq data: handle with care.

Karthik Suresh, Kevin J Psoter

Abstract readEditorial
In one paragraph

Article in American journal of physiology. Lung cellular and molecular physiology, 2023. 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

2 authors.

Karthik SureshDepartment of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland.ORCID 0000-0003-2920-0949
Kevin J PsoterDepartment of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, Maryland.

Funding

Metabolic regulation of Ca2+ entry and endothelial-mesenchymal transition in pulmonary arterial hypertensionR01HL151530 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI SURESH, KARTHIK · 2021 to 2025
$2.0M
NHLBI NIH HHS R01 HL151530
6 · The paper itself

Abstract

With the advent of next-generation sequencing technologies, there has been a dramatic increase in the availability of paired clinical and transcriptomic data in a variety of disease states. For basic science researchers, this has provided a valuable opportunity for querying the impact of the transcript levels of a gene on disease survival in humans. However, there are a multitude of methodological and technical considerations to evaluate before embarking on these analyses. Herein, we provide a brief description of statistical considerations involved in these analyses, geared toward basic scientists who may not necessarily routinely use such statistical models as part of their studies.

Indexed as

Gene Expression ProfilingTranscriptomeHigh-Throughput Nucleotide SequencingHumansKaplan–MeierRNAseqsurvival

Identifiers

PMID36410024
PMCPMC9799133

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.