Evidence map›Paper›PMID 16202135›Full record

ArticleBMC medical imaging2005

Systematic review and meta-analysis of the diagnostic accuracy of ultrasonography for deep vein thrombosis.

Steve Goodacre, Fiona Sampson, Steve Thomas, Edwin van Beek, Alex Sutton

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in BMC medical imaging, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03868956 (Safety of a Management Strategy Based on Colour Doppler ULTrasound and D-Dimer Testing for the Diagnosis Exclusion of RECurrent Deep Vein Thrombosis of the Lower Limbs. The ULTREC Project), which is not on this map. Cited by 99 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
99citing papers in PubMed, 9 pooled it
6.1field-weighted citation impact, top 3% 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.

NCT03868956 nacompletednot on this mapstarted 2020, after this paper: background citation

Safety of a Management Strategy Based on Colour Doppler ULTrasound and D-Dimer Testing for the Diagnosis Exclusion of RECurrent Deep Vein Thrombosis of the Lower Limbs. The ULTREC Project

TypeinterventionalSponsorCentre Hospitalier Intercommunal de Toulon La Seyne sur MerRan2020 to 2023Enrolled466ConditionsDeep Vein ThrombosisArmsColour doppler ultrasound with or without D-dimer test
3 · Its place in the literature

Who cites it

99 citing papers in PubMed, 9 syntheses or guidelines pooled it, 364 citations in OpenAlex.

  1. Pooled it
  2. Prevalence of preoperative deep vein thrombosis in long bone fractures of lower limbs: a systematic review and meta-analysis.Journal of orthopaedics and traumatology : official journal of the Italian Society of Orthopaedics and Traumatology · 2023
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  14. Prehabilitation for Limb Salvage Surgery: A Practical and Evidence-based Guide.Plastic and reconstructive surgery. Global open · 2026
    Article
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  18. Observational
  19. Article
  20. Long-term impact of central venous catheters in pediatric cancer survivors.Research and practice in thrombosis and haemostasis · 2025
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39 more citing papers are in PubMed but not listed here.

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 at 3 institutions in 2 countries.

Steve GoodacreSchool of Health, University of Sheffield, Regent Court, Sheffield, S1 4DA, UK. s.goodacre@sheffield.ac.uk
Fiona Sampson
Steve Thomas
Edwin van Beek
Alex Sutton
University of Sheffield · GBUniversity of Iowa Hospitals and Clinics · USUniversity of Leicester · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUltrasound (US) has largely replaced contrast venography as the definitive diagnostic test for deep vein thrombosis (DVT). We aimed to derive a definitive estimate of the diagnostic accuracy of US for clinically suspected DVT and identify study-level factors that might predict accuracy.

methodsWe undertook a systematic review, meta-analysis and meta-regression of diagnostic cohort studies that compared US to contrast venography in patients with suspected DVT. We searched Medline, EMBASE, CINAHL, Web of Science, Cochrane Database of Systematic Reviews, Cochrane Controlled Trials Register, Database of Reviews of Effectiveness, the ACP Journal Club, and citation lists (1966 to April 2004). Random effects meta-analysis was used to derive pooled estimates of sensitivity and specificity. Random effects meta-regression was used to identify study-level covariates that predicted diagnostic performance.

resultsWe identified 100 cohorts comparing US to venography in patients with suspected DVT. Overall sensitivity for proximal DVT (95% confidence interval) was 94.2% (93.2 to 95.0), for distal DVT was 63.5% (59.8 to 67.0), and specificity was 93.8% (93.1 to 94.4). Duplex US had pooled sensitivity of 96.5% (95.1 to 97.6) for proximal DVT, 71.2% (64.6 to 77.2) for distal DVT and specificity of 94.0% (92.8 to 95.1). Triplex US had pooled sensitivity of 96.4% (94.4 to 97.1%) for proximal DVT, 75.2% (67.7 to 81.6) for distal DVT and specificity of 94.3% (92.5 to 95.8). Compression US alone had pooled sensitivity of 93.8 % (92.0 to 95.3%) for proximal DVT, 56.8% (49.0 to 66.4) for distal DVT and specificity of 97.8% (97.0 to 98.4). Sensitivity was higher in more recently published studies and in cohorts with higher prevalence of DVT and more proximal DVT, and was lower in cohorts that reported interpretation by a radiologist. Specificity was higher in cohorts that excluded patients with previous DVT. No studies were identified that compared repeat US to venography in all patients. Repeat US appears to have a positive yield of 1.3%, with 89% of these being confirmed by venography.

conclusionCombined colour-doppler US techniques have optimal sensitivity, while compression US has optimal specificity for DVT. However, all estimates are subject to substantial unexplained heterogeneity. The role of repeat scanning is very uncertain and based upon limited data.

Identifiers

PMID16202135
PMCPMC1262723
OpenAlexW1569766984

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.