Evidence map›Paper›PMID 35967336›Full record

ArticleFrontiers in immunology2022

Evaluation of the immune feature of ACPA-negative rheumatoid arthritis and the clinical value of matrix metalloproteinase-3.

Zhaojun Liang, Nan Wang, Lili Shang, Yanlin Wang, Min Feng, Guangying Liu, Chong Gao, Jing Luo

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

12 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
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  3. Observational
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  6. Nutrients · 2025
    Article
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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

8 authors at 3 institutions in 2 countries.

Zhaojun LiangDivision of Rheumatology, Department of Medicine, The Second Hospital of Shanxi Medical University, Taiyuan, China.
Nan WangDivision of Rheumatology, Department of Medicine, The Second Hospital of Shanxi Medical University, Taiyuan, China.
Lili ShangDivision of Rheumatology, Department of Medicine, The Second Hospital of Shanxi Medical University, Taiyuan, China.
Yanlin WangDivision of Rheumatology, Department of Medicine, The Second Hospital of Shanxi Medical University, Taiyuan, China.
Min FengDivision of Rheumatology, Department of Medicine, The Second Hospital of Shanxi Medical University, Taiyuan, China.
Guangying LiuDivision of Rheumatology, Department of Medicine, The Second Hospital of Shanxi Medical University, Taiyuan, China.
Chong GaoBrigham and Women's Hospital, Harvard Medical School, Boston, MA, United States.
Jing LuoDivision of Rheumatology, Department of Medicine, The Second Hospital of Shanxi Medical University, Taiyuan, China.
Shanxi Medical University · CNSecond Hospital of Shanxi Medical University · CNBrigham and Women's Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anti-citrullinated protein antibodies (ACPAs) are highly specific for the diagnosis of rheumatoid arthritis (RA). However, about one-third of RA patients are negative for ACPAs, which presents a challenge to the early diagnosis of RA. The purpose of this study was to analyze differences in lymphocyte subsets and CD4

Indexed as

Arthritis, RheumatoidAnti-Citrullinated Protein AntibodiesAutoantibodiesBiomarkersHumansMatrix Metalloproteinase 3MyeloblastinAnti-Citrullinated Protein AntibodiesAutoantibodiesBiomarkersMatrix Metalloproteinase 3MMP3 protein, humanMyeloblastinanti-citrullinated protein antibodiesbiomarkerlymphocyte subsetsmatrix metalloproteinase-3rheumatoid arthritis

Identifiers

PMID35967336
PMCPMC9363571
OpenAlexW4288034075

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.