Evidence map›Paper›PMID 37534313›Full record

ArticleFrontiers in medicine2023

Comparison of joint status using ultrasound assessments and Haemophilia Joint Health Score 2.1 in children with haemophilia.

Yanju Li, Feiqing Wang, Chengyun Pan, Jing Zhang, Qian Zhang, Lingying Ban, Lingling Song, Jishi Wang, Zhixu He, Xiaojing Zeng and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in medicine, 2023. 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
2.3field-weighted citation impact, top 11% 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, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. The haemophilia joint health score for the assessment of joint health in patients with haemophilia.Haemophilia : the official journal of the World Federation of Hemophilia · 2024
    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

12 authors at 3 institutions in 1 country.

Yanju LiDepartment of Hematology Oncology, Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Feiqing WangClinical Medical Research Center, The First Affiliated Hospital of Guizhou University of Traditional Chinese Medicine, Guiyang, China.
Chengyun PanDepartment of Hematology Oncology, Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Jing ZhangDepartment of Hematology Oncology, Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Qian ZhangDepartment of Hematology Oncology, Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Lingying BanDepartment of Hematology Oncology, Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Lingling SongDepartment of Hematology Oncology, Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Jishi WangDepartment of Hematology Oncology, Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Zhixu HeKey Laboratory of Adult Stem Cell Translational Research, Chinese Academy of Medical Sciences, Guizhou Medical University, Guiyang, China.
Xiaojing ZengDepartment of Hematology Oncology, Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Dongxin TangClinical Medical Research Center, The First Affiliated Hospital of Guizhou University of Traditional Chinese Medicine, Guiyang, China.
Yang LiuClinical Medical Research Center, The First Affiliated Hospital of Guizhou University of Traditional Chinese Medicine, Guiyang, China.
Guiyang Medical University · CNAffiliated Hospital of Guizhou Medical University · CNGuizhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Ultrasound (US) has gained popularity in the evaluation of haemophilic joint diseases because it enables the imaging of soft-tissue lesions in the joints and bone-cartilage lesions. We aimed to determine the correlation between US evaluations and clinical assessments performed using HJHS 2.1 and to evaluate their respective characteristics in assessing early haemophilic arthropathy. Methods: A total of 178 joints (32 knees, 85 elbows, and 61 ankles) in 45 haemophilia A patients (median age, 10 years; range, 6-15) were assessed using US and HJHS 2.1. Ultrasonographic scoring was performed in consensus assessments by one imager by using the US scores. Results: The total HJHS 2.1 and US scores showed a strong correlation (rS=0.651, Discussion: US could identify some early pathological changes in joints showing normal clinical findings, but still cannot replace the HJHS; however, it can serve as an imaging examination complementing HJHS 2.

Indexed as

arthropathychildrenhaemophiliaHaemophilia Joint Health Score (HJHS)ultrasonography

Identifiers

PMID37534313
PMCPMC10390768
OpenAlexW4384695350

What OpenQuestion holds

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LicenceCC BY
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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.