Evidence map›Paper›PMID 35295888›Full record

ArticleAmerican journal of nuclear medicine and molecular imaging2022

Diagnostic value of semi-quantitative grading of musculoskeletal ultrasound in wrist and hand lesions of subclinical synovitis in rheumatoid arthritis.

Yan Huang, Ke-Jun Liu, Gui-Wu Chen, Jun-Feng Liu, Feng-Qi Mo, Yu-Huan Xie

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In one paragraph

Article in American journal of nuclear medicine and molecular imaging, 2022. 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 27% 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, 5 citations in OpenAlex.

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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

6 authors at 1 institution in 1 country.

Yan HuangDepartment of Ultrasound, Affiliated Dongguan Hospital, Southern Medical University Dongguan 523059, Guangdong, China.
Ke-Jun LiuDongguan Institute of Clinical Cancer Research, Affiliated Dongguan Hospital, Southern Medical University Dongguan 523059, Guangdong, China.
Gui-Wu ChenDepartment of Ultrasound, Affiliated Dongguan Hospital, Southern Medical University Dongguan 523059, Guangdong, China.
Jun-Feng LiuDepartment of Ultrasound, Affiliated Dongguan Hospital, Southern Medical University Dongguan 523059, Guangdong, China.
Feng-Qi MoDepartment of Ultrasound, Affiliated Dongguan Hospital, Southern Medical University Dongguan 523059, Guangdong, China.
Yu-Huan XieDepartment of Ultrasound, Affiliated Dongguan Hospital, Southern Medical University Dongguan 523059, Guangdong, China.
Dongguan People’s Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We used semi-quantitative grading of musculoskeletal ultrasound to evaluate wrist and hand lesions of subclinical synovitis, in order to make earlier diagnosis of rheumatoid arthritis. A total of 164 patients were included in this study. Physical examination and ultrasound examination were used to evaluate 30 joints of the wrist and hand. According to the clinical symptoms, the patients were divided into subclinical synovitis (SS) group and clinical synovitis (CS) group. The wrist and hand joints of patients with rheumatoid arthritis between the two groups were evaluated by semi-quantitative grading of musculoskeletal ultrasound, including synovitis, Power Doppler signal, joint effusion and bone erosion. We found that the total score of semi-quantitative ultrasound, synovitis score and Power Doppler signal score in the SS group were lower than those in the CS group (

Indexed as

Musculoskeletal ultrasoundrheumatoid arthritissemi-quantitative gradingsubclinical synovitis

Identifiers

PMID35295888
PMCPMC8918401
OpenAlexW4226291053

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.