Evidence map›Paper›PMID 36111027›Full record

ArticleAnnals of translational medicine2022

MALT1 serves as a biomarker for estimating disease risk of lupus nephritis: a prospective case-control study.

Min Wang, Li Huang, Liping Peng, Yameng Yang, Jing Mao, Ning Zhu, Bin Wu

Open access · diamondAbstract read
In one paragraph

Article in Annals of translational medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 45% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. 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 2 institutions in 1 country.

Min Wang *Department of Immunology and Rheumatology, The First Affiliated Hospital of Yangtze University, Jingzhou, China.
Li Huang *Department of Immunology and Rheumatology, The First People's Hospital of Jingzhou, Jingzhou, China.
Liping PengDepartment of Immunology and Rheumatology, The First People's Hospital of Jingzhou, Jingzhou, China.
Yameng YangDepartment of Immunology and Rheumatology, The First People's Hospital of Jingzhou, Jingzhou, China.
Jing MaoDepartment of Immunology and Rheumatology, The First People's Hospital of Jingzhou, Jingzhou, China.
Ning ZhuDepartment of Immunology and Rheumatology, The First People's Hospital of Jingzhou, Jingzhou, China.
Bin WuDepartment of Immunology and Rheumatology, The First People's Hospital of Jingzhou, Jingzhou, China.
First People's Hospital of Jingzhou · CNYangtze University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Mucosa-associated lymphoid tissue lymphoma translocation protein 1 (MALT1) regulates immune/inflammation response and kidney injury, indicating that it might participate in the lupus nephritis (LN) pathology. The present study sought to investigate the utility of MALT1 serving as an indicator of severity and inflammation biomarker in LN. Methods: In total, 30 LN patients and 30 non-LN systemic lupus erythematosus (SLE) patients were recruited, and blood MALT1 expression was detected using reverse transcription-quantitative polymerase. Besides, the SLE disease activity index was calculated for all subjects to assess disease activity. Results: MALT1 was more increased in LN patients than non-LN SLE patients {2.26 [interquartile range (IQR): 1.38-3.54] Conclusions: MALT1 might serve as a useful biomarker for estimating the disease risk in LN patients; however, future large-sample size studies need to be conducted to validate our findings.

Indexed as

disease riskdisease severityinflammationlupus nephritis (LN)MALT1

Identifiers

PMID36111027
PMCPMC9469135
OpenAlexW4289538144

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.