Evidence map›Paper›PMID 34307406›Full record

ArticleFrontiers in medicine2021

Effect of Immune Cell Infiltration on Occurrence of Pulmonary Hypertension in Pulmonary Fibrosis Patients Based on Gene Expression Profiles.

Feng Zhu, Lili Zuo, Rui Hu, Jin Wang, Zhihua Yang, Xin Qi, Limin Feng

Open access · goldAbstract read
In one paragraph

Article in Frontiers in medicine, 2021. 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
0.9field-weighted citation impact, top 25% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Dissecting the lung transcriptome of pulmonary fibrosis-associated pulmonary hypertension.American journal of physiology. Lung cellular and molecular physiology · 2024
    Article
  2. Article
  3. Review
  4. Lung Organoids-The Ultimate Tool to Dissect Pulmonary Diseases?Frontiers in cell and developmental biology · 2022
    Review
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

7 authors at 5 institutions in 1 country.

Feng ZhuGraduate School, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Lili ZuoDepartment of Neonatal, ZiBo Maternal and Child Health Hospital, Zibo, China.
Rui HuCenter for Drug Monitoring and Evaluation Department, Center for Drug Monitoring and Evaluation in Zhangjiakou, Zhangjiakou, China.
Jin WangDepartment of Cardiovascular Disease, ZiBo Hospital of Traditional Chinese Medicine, Zibo, China.
Zhihua YangGraduate School, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Xin QiDepartment of Cardiology, Tianjin Union Medical Center, Tianjin, China.
Limin FengDepartment of Cardiology, The Second Affiliated Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Tianjin University of Traditional Chinese Medicine · CNCentral Hospital of Zibo · CNThe Fourth People's Hospital of Zibo City · CNTianjin People's Hospital · CNZhangjiakou Academy of Agricultural Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pulmonary hypertension (PH) is a frequent complication in patients with pulmonary fibrosis (PF), whereas the mechanism was not well-understood. This study aimed to explore the influence of immune cell infiltration on PH status based on the genomic expression profiles. Microarray data of GSE24988 were downloaded from the GEO database, including 116 lung tissue samples derived from PF patients with various PH status. Proportion of infiltrated immune cells was evaluated using CIBERSORT, a gene expression-based de-convolution algorithm. A random forest classifier was constructed and out of bag (OOB) cross-validation was carried out for PH prediction. The proportions of immune infiltration cells varied differently in PH samples except T regulatory cells (

Indexed as

immune cell infiltrationpredictionpulmonary fibrosispulmonary hypertensionrandom forest classifier

Identifiers

PMID34307406
PMCPMC8292720
OpenAlexW3181795947

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.