Evidence map›Paper›PMID 27184993›Full record

ArticleAnnals of family medicine2016

Ruling Out Pulmonary Embolism in Primary Care: Comparison of the Diagnostic Performance of "Gestalt" and the Wells Rule.

Janneke M T Hendriksen, Wim A M Lucassen, Petra M G Erkens, Henri E J H Stoffers, Henk C P M van Weert, Harry R Büller, Arno W Hoes, Karel G M Moons, Geert-Jan Geersing

Abstract readComparative Study
In one paragraph

Article in Annals of family medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Observational
  3. Article
  4. Article
  5. Article
  6. Article
  7. Diagnostic Performance of Emergency Physician Gestalt for Predicting Acute Appendicitis in Patients Age 5 to 20 Years.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2020
    Article
  8. Article
  9. Higher Imaging Yield When Clinical Decision Support Is Used.Journal of the American College of Radiology : JACR · 2020
    Article
  10. Observational
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

9 authors.

Janneke M T HendriksenDepartment of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, The Netherlands j.m.t.hendriksen-9@umcutrecht.nl.
Wim A M LucassenDepartment of General Practice, Academic Medical Center, Amsterdam, The Netherlands.
Petra M G ErkensDepartment of Family Medicine, CAPHRI School for Public Health and Primary Care, Maastricht University, Maastricht, The Netherlands.
Henri E J H StoffersDepartment of Family Medicine, CAPHRI School for Public Health and Primary Care, Maastricht University, Maastricht, The Netherlands.
Henk C P M van WeertDepartment of General Practice, Academic Medical Center, Amsterdam, The Netherlands.
Harry R BüllerDepartment of Vascular Medicine, Academic Medical Center, Amsterdam, The Netherlands.
Arno W HoesDepartment of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, The Netherlands.
Karel G M MoonsDepartment of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, The Netherlands.
Geert-Jan GeersingDepartment of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeDiagnostic prediction models such as the Wells rule can be used for safely ruling out pulmonary embolism (PE) when it is suspected. A physician's own probability estimate ("gestalt"), however, is commonly used instead. We evaluated the diagnostic performance of both approaches in primary care.

methodsFamily physicians estimated the probability of PE on a scale of 0% to 100% (gestalt) and calculated the Wells rule score in 598 patients with suspected PE who were thereafter referred to secondary care for definitive testing. We compared the discriminative ability (c statistic) of both approaches. Next, we stratified patients into PE risk categories. For gestalt, a probability of less than 20% plus a negative point-of-care d-dimer test indicated low risk; for the Wells rule, we used a score of 4 or lower plus a negative d-dimer test. We compared sensitivity, specificity, efficiency (percentage of low-risk patients in total cohort), and failure rate (percentage of patients having PE within the low-risk category).

resultsWith 3 months of follow-up, 73 patients (12%) were confirmed to have venous thromboembolism (a surrogate for PE at baseline). The c statistic was 0.77 (95% CI, 0.70-0.83) for gestalt and 0.80 (95% CI, 0.75-0.86) for the Wells rule. Gestalt missed 2 out of 152 low-risk patients (failure rate = 1.3%; 95% CI, 0.2%-4.7%) with an efficiency of 25% (95% CI, 22%-29%); the Wells rule missed 4 out of 272 low-risk patients (failure rate = 1.5%; 95% CI, 0.4%-3.7%) with an efficiency of 45% (95% CI, 41%-50%).

conclusionsCombined with d-dimer testing, both gestalt using a cutoff of less than 20% and the Wells rule using a score of 4 or lower are safe for ruling out PE in primary care. The Wells rule is more efficient, however, and PE can be ruled out in a larger proportion of suspected cases.

Indexed as

AdultAgedArea Under CurveBiomarkersFalse Negative ReactionsFalse Positive ReactionsFemaleFibrin Fibrinogen Degradation ProductsHumansMaleMiddle AgedNetherlandsPoint-of-Care SystemsPredictive Value of TestsPrimary Health CareProbabilityBiomarkersFibrin Fibrinogen Degradation Productsfibrin fragment Ddeep venous thrombosisdiagnostic prediction modelsfamily practicegestaltpractice-based researchprimary carepulmonary embolism

Identifiers

PMID27184993
PMCPMC4868561

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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.