Evidence map›Paper›PMID 33122317›Full record

SynthesisBMJ open2020

Standard echocardiography versus handheld echocardiography for the detection of subclinical rheumatic heart disease: a systematic review and meta-analysis of diagnostic accuracy.

Lisa Helen Telford, Leila Hussein Abdullahi, Eleanor Atieno Ochodo, Liesl Joanna Zuhlke, Mark Emmanuel Engel

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in BMJ open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. The role of echocardiographic screening in reducing the burden of rheumatic heart disease in Latin America.Revista panamericana de salud publica = Pan American journal of public health · 2023
    Article
  7. 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

5 authors.

Lisa Helen TelfordDepartment of Medicine, Groote Schuur Hospital, University of Cape Town Faculty of Health Sciences, Cape Town, Western Cape, South Africa lisa.telford@uct.ac.za.ORCID 0000-0002-8554-057X
Leila Hussein AbdullahiDepartment of Paediatrics and Child Health, Red Cross War Memorial Children's Hospital, University of Cape Town Faculty of Health Sciences, Cape Town, Western Cape, South Africa.
Eleanor Atieno OchodoDepartment of Global Health, Faculty of Medicine and Health Sciences, University of Stellenbosch Centre for Evidence-Based Health Care, Cape Town, Western Cape, South Africa.
Liesl Joanna ZuhlkeDivision of Cardiology, Department of Paediatrics and Child Health, Red Cross War Memorial Children's Hospital, University of Cape Town Faculty of Health Sciences, Cape Town, Western Cape, South Africa.ORCID 0000-0003-3961-2760
Mark Emmanuel EngelDepartment of Medicine, Groote Schuur Hospital, University of Cape Town Faculty of Health Sciences, Cape Town, Western Cape, South Africa.

Funding

Medical Research Council MR/S005242/1Medical Research Council MR/T008768/1
6 · The paper itself

Abstract

objectiveTo summarise the accuracy of handheld echocardiography (HAND) which, if shown to be sufficiently similar to that of standard echocardiography (STAND), could usher in a new age of rheumatic heart disease (RHD) screening in endemic areas.

designSystematic review and meta-analysis. DATA SOURCES: PubMed, Scopus, EBSCOHost and ISI Web of Science were initially searched on 27 September 2017 and again on 3 March 2020 for studies published from 2012 onwards. ELIGIBILITY CRITERIA: Studies assessing the accuracy of HAND compared with STAND when performed by an experienced cardiologist in conjunction with the 2012 World Heart Federation criteria among populations of children and adolescents living in endemic areas were included. DATA EXTRACTION AND SYNTHESIS: Two reviewers independently extracted data and assessed the methodological quality of included studies against review-specific Quality Assessment of Diagnostic Accuracy Studies (QUADAS)-2 criteria. A meta-analysis using the hierarchical summary receiver operating characteristic model was conducted to produce summary results of sensitivity and specificity. Forest plots and scatter plots in receiver operating characteristic space in combination with subgroup analyses were used to investigate heterogeneity. Publication bias was not investigated.

resultsSix studies (N=4208) were included in the analysis. For any RHD detection, the pooled results from six studies were as follows: sensitivity: 81.56% (95% CI 76.52% to 86.61%) and specificity: 89.75% (84.48% to 95.01%). Meta-analytical results from five of the six included studies were as follows: sensitivity: 91.06% (80.46% to 100%) and specificity: 91.96% (85.57% to 98.36%) for the detection of definite RHD only and sensitivity: 62.01% (31.80% to 92.22%) and specificity: 82.33% (65.15% to 99.52%) for the detection of borderline RHD only.

conclusionsHAND displayed good accuracy for detecting definite RHD only and modest accuracy for detecting any RHD but demonstrated poor accuracy for the detection of borderline RHD alone. Findings from this review provide some evidence for the potential of HAND to increase access to echocardiographic screening for RHD in resource-limited and remote settings; however, further research into feasibility and cost-effectiveness of wide-scale screening is still needed. PROSPERO REGISTRATION NUMBER: CRD42016051261.

Indexed as

Rheumatic Heart DiseaseAdolescentChildCost-Benefit AnalysisEchocardiographyHumansMass ScreeningSensitivity and Specificitycardiovascular imagingechocardiographypaediatric cardiologypublic healthvalvular heart disease

Identifiers

PMID33122317
PMCPMC7597508

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Registered trials

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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.