Evidence map›Paper›PMID 34900195›Full record

ArticleJournal of healthcare engineering2021

Correlation of Impaired NF-

Xiaoying Chen, Zhangping Sun, Huanran Zhang, Lei Wang

RetractedOpen access · hybridAbstract readRetracted Publication
In one paragraph

Article in Journal of healthcare engineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 23% 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, 7 citations in OpenAlex.

  1. Review
  2. Article
  3. Retracted: Correlation of Impaired NF-Journal of healthcare engineering · 2023
    Article
  4. Article
4 · The record

Corrections and comments

  • Retraction · 2023-11-01Concerns/Issues about Data · Concerns/Issues about Results and/or Conclusions · Concerns/Issues about Referencing/Attributions · Concerns/Issues about Peer Review · Investigation by Journal/Publisher · Investigation by Third Party · Paper Mill · Computer-Aided Content or Computer-Generated Content · Unreliable Results and/or Conclusions ·
  • Retracted
5 · Who and what money

Authors and funding

4 authors at 3 institutions in 1 country.

Xiaoying ChenDepartment of Emergency Medicine, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.ORCID 0000-0002-6817-1813
Zhangping SunDepartment of Emergency Medicine, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China.
Huanran ZhangDepartment of Emergency Medicine, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Lei WangDepartment of Emergency Medicine, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.ORCID 0000-0003-2989-5322
Second Affiliated Hospital of Zhejiang University · CNDalian Medical University · CNFirst Affiliated Hospital Zhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The allergic lung inflammation is reduced in the diabetic rats which can be restored by treating it with insulin. As observed in multiple studies, the diabetic patients are more vulnerable to infections and their inflammatory reactions. There are confirmations on insulin and its effects control the inflammatory reactions. Objective: This study was performed to understand the correlation of impaired NF- Results: Diabetic rats developed mild acute lung injury due to the suppression of activation of NF- Conclusion: Even the diabetic rats were more susceptible to sepsis in comparison to the nondiabetic rats, but the NF-

Indexed as

Acute Lung InjuryDiabetes Mellitus, ExperimentalSepsisAnimalsNF-kappa BRatsRats, Sprague-DawleyNF-kappa B

Identifiers

PMID34900195
PMCPMC8654535
OpenAlexW3216163360

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.