Evidence map›Paper›PMID 33174353›Full record

ArticleInternal medicine journal2020

Scoring system to facilitate diagnosis of Gaucher disease.

Atul Mehta, Oliver Rivero-Arias, Magy Abdelwahab, Samantha Campbell, Annabel McMillan, Mark J Rolfe, Jeremy R Bright, David J Kuter

Open access · hybridAbstract read
In one paragraph

Article in Internal medicine journal, 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
1.0field-weighted citation impact, top 24% 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

7 citing papers in PubMed, 11 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

8 authors at 6 institutions in 3 countries.

Atul MehtaDepartment of Haematology, University College London, London, UK.ORCID https://orcid.org/0000-0001-6474-9959
Oliver Rivero-AriasNuffield Department of Population Health, National Perinatal Epidemiology Unit, University of Oxford, Oxford, UK.
Magy AbdelwahabDepartment of Paediatric Haematology, Cairo University Paediatric Hospital, Cairo, Egypt.
Samantha CampbellDepartment of Hepatology and Gastroenterology, Royal Free Hospital, University College London School of Medicine, London, UK.
Annabel McMillanDepartment of Haematology, Royal Free Hospital, University College London School of Medicine, London, UK.
Mark J RolfeOxford PharmaGenesis, Oxford, UK.
Jeremy R BrightOxford PharmaGenesis, Oxford, UK.
David J KuterDepartment of Medicine, Harvard Medical School, Boston, Massachusetts, USA.
Oxford Instruments (United Kingdom) · GBThe Royal Free Hospital · GBCairo University · EGHarvard University · USUniversity College London · GBUniversity of Oxford · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGaucher disease (GD) manifests heterogeneously and other conditions are often misdiagnosed in its place, leading to diagnostic delays. The Gaucher Earlier Diagnosis Consensus (GED-C) initiative proposed a point-scoring system (PSS) based on the signs and covariables that are most indicative of GD to help clinicians identify which individuals to test for GD.

aimsTo validate the PSS retrospectively in a test population including patients with GD and other conditions with overlapping manifestations.

methodsFour cohorts of adults with GD, liver disease, haematological malignancy or immune thrombocytopenia were identified from hospital records. Clinical data were audited for GED-C factors identified as potentially indicative of GD and aggregate scores calculated (sum of scores/number of factors) based on published PSS weightings. Threshold discriminatory PSS scores, sensitivity and specificity were determined by receiver-operating characteristic analysis.

resultsAmong 100 patients (GD, n = 25; non-GD, n = 75), analyses based on 11 possible factors estimated group mean (standard deviation) PSS scores of: GD (n = 14), 1.08 (0.25); non-GD (n = 38), 0.58 (0.31). Mean between-group difference (95% confidence interval) was -0.49 (-0.68, -0.31) and area under the receiver-operating characteristic analysis curve (95% confidence interval) was 0.88 (0.78, 0.97). A threshold PSS score of 0.82 identified all 14 patients with GD in the analysis set (100% sensitivity) and 27 of 38 patients in the non-GD group (71% specificity). Patients with liver disease and haematological malignancy were most likely to have manifestations overlapping GD.

conclusionsPreliminary validation of the GED-C PSS discriminated effectively between patients with GD and those with overlapping signs.

Indexed as

Gaucher DiseaseAdultEarly DiagnosisHumansRetrospective StudiesROC CurveSensitivity and Specificityconsensusdelayed diagnosisearly diagnosisreceiver-operating characteristic curvesensitivity and specificity

Identifiers

PMID33174353
PMCPMC7839708
OpenAlexW3105947506

What OpenQuestion holds

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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.