Evidence map›Paper›PMID 36347828›Full record

SynthesisJournal of clinical laboratory analysis2022

Non-genetic biomarkers for ankylosing spondylitis: An umbrella review.

Changming Lv, Ding Ye, Yi Zhu, Shuyang Meng, Bin Liu, Xiaohui Sun, Chengping Wen, Yingying Mao

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Journal of clinical laboratory analysis, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 38% 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it, 2 citations in OpenAlex.

  1. Non-genetic biomarkers for ankylosing spondylitis: An umbrella review.Journal of clinical laboratory analysis · 2022
    Pooled it
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 1 institution in 1 country.

Changming LvSchool of the Fourth Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China.
Ding YeSchool of Public Health, Zhejiang Chinese Medical University, Hangzhou, China.
Yi ZhuSchool of the Fourth Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China.
Shuyang MengSchool of the Fourth Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China.
Bin LiuSchool of Public Health, Zhejiang Chinese Medical University, Hangzhou, China.
Xiaohui SunSchool of Public Health, Zhejiang Chinese Medical University, Hangzhou, China.
Chengping WenSchool of Basic Medical Sciences, Zhejiang Chinese Medical University, Hangzhou, China.
Yingying MaoSchool of Public Health, Zhejiang Chinese Medical University, Hangzhou, China.ORCID https://orcid.org/0000-0003-3644-9160
Zhejiang Chinese Medical University · CN

Funding

National Natural Science Foundation of China 81973663Talent project of Zhejiang Association for Science and Technology 2018YCGC003
6 · The paper itself

Abstract

objectiveThe objective of the study was to provide an overview of the existing evidence on non-genetic biomarkers for ankylosing spondylitis (AS).

methodsIn this umbrella review, we searched PubMed and Web of Science from database inception to October 31, 2020. Systematic reviews and meta-analyses of observational studies investigating the associations between any non-genetic biomarkers and AS were included. We estimated summary standardized mean difference (SMD) along with 95% confidence interval (CI), I

resultsA total of 1276 publications were identified, of which 21 articles covering 43 non-genetic biomarkers were eligible for inclusion. Evidence of 22 (51%) non-genetic biomarkers exhibited a nominally significant effect (p < 0.05) on AS, and 7 associations (14%) showed small-study effects. The associations of platelet count (SMD: 0.53, 95% CI: 0.36 to 0.71) and serum interleukin (IL)-23 levels (SMD = 2.03, 95% CI: 1.27 to 2.79) with AS presented highly suggestive evidence, while circulating IL-17 levels (SMD = 2.36, 95% CI: 1.71, 3.01) and Treg/PBMC ratio (SMD = -0.75, 95% CI: -1.06 to -0.44) presented suggestive evidence. However, these associations showed large or very large between-study heterogeneity, suggesting an indefinite direction for the effect when 95% PIs were considered.

conclusionNo convincing evidence supported the existence of a non-genetic biomarker for AS. Some highly suggestive associations might be affected by bias, therefore, promising non-genetic biomarkers for AS remain limited at least based on the current evidence from observational studies.

Indexed as

Spondylitis, AnkylosingBiomarkersHumansLeukocytes, MononuclearMeta-Analysis as TopicSystematic Reviews as TopicBiomarkersankylosing spondylitisbiomarkermeta-analysissystematic reviewumbrella review

Identifiers

PMID36347828
PMCPMC9757005
OpenAlexW4308564868

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.