Evidence map›Paper›PMID 42936262›Full record

ArticleJournal of inflammation research2026

Integrative Analysis of m

Juan Zhao, Tengfei Zhu, Chao Zhao, Xu Huang, Fang Yao, Yueyuan Qin, Baojiang Wang, Gehui Li, Shan Duan

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of inflammation research, 2026. 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

9 authors.

Juan Zhao *Maternal and Child Healthcare Medical Research Institute, Shenzhen Maternity and Child Healthcare Hospital, Southern Medical University, Shenzhen, People's Republic of China.
Tengfei Zhu *Hengyang Medical School, University of South China, Hengyang, People's Republic of China.
Chao ZhaoHengyang Medical School, University of South China, Hengyang, People's Republic of China.
Xu HuangCenter for Medical Genetics, School of Life Sciences, Central South University, Changsha, People's Republic of China.
Fang YaoMaternal and Child Healthcare Medical Research Institute, Shenzhen Maternity and Child Healthcare Hospital, Southern Medical University, Shenzhen, People's Republic of China.
Yueyuan QinMaternal and Child Healthcare Medical Research Institute, Shenzhen Maternity and Child Healthcare Hospital, Southern Medical University, Shenzhen, People's Republic of China.
Baojiang WangMaternal and Child Healthcare Medical Research Institute, Shenzhen Maternity and Child Healthcare Hospital, Southern Medical University, Shenzhen, People's Republic of China.
Gehui LiDepartment of Anesthesiology, Shenzhen Maternity and Child Healthcare Hospital, Southern Medical University, Shenzhen, People's Republic of China.
Shan DuanMaternal and Child Healthcare Medical Research Institute, Shenzhen Maternity and Child Healthcare Hospital, Southern Medical University, Shenzhen, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Sepsis-associated encephalopathy (SAE) is a common and severe complication in septic patients, characterized by the increased mortality and cognition dysfunction. N6-Methyladenosine (m Methods: RNA sequencing (RNA-seq) and methylated RNA immunoprecipitation (MeRIP)-sequencing were performed to analyze the transcriptomic profiles and m Results: Numerous genes exhibited differential expression and m Conclusion: This study provided a transcriptome-wide analysis of m

Indexed as

braininflammationm6Asepsistranscriptome

Identifiers

PMID42936262
PMCPMC13701088

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.