Evidence map›Paper›PMID 38914728›Full record

SynthesisInternational ophthalmology2024

Systematic review and meta-analysis of the diagnostic performance of lacrimal gland ultrasound elastography in primary Sjögren's syndrome.

Mingyan Zhang, Jianpeng Pan, Junfa Sheng

Abstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in International ophthalmology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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. 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

3 authors.

Mingyan ZhangObstetrics, Jinjiang Municipal Hospital, Quanzhou, 362201, Fujian, China.
Jianpeng PanGastrointestinal Surgery, Jinjiang Municipal Hospital, Quanzhou, 362201, Fujian, China.
Junfa ShengUltrasound Department, Jinjiang Municipal Hospital, No. 16 Luoshan Section, Jinguang Road, Jinjiang City, Quanzhou City, 362201, Fujian Province, China. shengjunfa1026@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis research conducted a comprehensive evaluation of the effectiveness of ultrasonic elastography (USE) in detecting lacrimal gland involvement in individuals suffering from primary Sjögren's syndrome (pSS).

methodsA comprehensive search was undertaken across multiple databases including PubMed, the Cochrane Library, EMBASE, Wanfang, Web of Science, and the Chinese National Knowledge Infrastructure, to gather relevant literature pertaining to the application of USE in diagnosing pSS from January 1, 2000, to October 1, 2023. Pooled data were used to calculate sensitivity, specificity, and diagnostic odds ratios. Several summary metrics were used to evaluate SWE's performance in detecting pSS, including the area under the receiver operating characteristic curve, diagnostic odds ratios, sensitivities, and specificities.

resultsFive pertinent studies included a total of 273 patients. Shear wave elastography (SWE) demonstrated a pooled sensitivity of 0.88 (95% CI 0.77-0.94) and specificity of 0.94 (95% CI 0.88-0.98), with an area under the receiver operating characteristic curve of 0.97 (95% CI 0.95-0.98). SWE exhibited a positive likelihood ratio of 15.86 (95% CI 6.99-36.00) and a negative likelihood ratio of 0.13 (95% CI 0.07-0.25). No evidence of publication bias was observed (p = 0.70).

conclusionSWE demonstrates a remarkable degree of precision in detecting lacrimal gland involvement in individuals suffering from pSS.

Indexed as

Elasticity Imaging TechniquesLacrimal ApparatusSjogren's SyndromeHumansROC CurveLacrimal glandMeta-analysisPrimary Sjögren’s syndromeUltrasound elastography

Identifiers

What OpenQuestion holds

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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.