Evidence map›Paper›PMID 30783786›Full record

ArticleEuropean radiology2019

Age-dependent diagnostic accuracy of clinical scoring systems and D-dimer levels in the diagnosis of pulmonary embolism with computed tomography pulmonary angiography (CTPA).

Sebastian N Nagel, Ingo G Steffen, Stefan Schwartz, Bernd Hamm, Thomas Elgeti

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In one paragraph

Article in European radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 9% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Acute Pulmonary Embolism: Contemporary Approach to Diagnosis, Risk-Stratification, and Management.The International journal of angiology : official publication of the International College of Angiology, Inc · 2019
    Article
  8. Study on the Diagnostic Value of Clinical Decision Rules for Malignant Tumors Complicated with Pulmonary Thromboembolism: A Retrospective Analysis.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
    Article
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 1 institution in 2 countries.

Sebastian N NagelKlinik und Hochschulambulanz für Radiologie, Charité - Universitätsmedizin Berlin Campus Benjamin Franklin, Hindenburgdamm 30, 12203, Berlin, Germany. sebastian.nagel@charite.de.ORCID http://orcid.org/0000-0002-9489-2913
Ingo G SteffenKlinik und Hochschulambulanz für Radiologie, Charité - Universitätsmedizin Berlin Campus Benjamin Franklin, Hindenburgdamm 30, 12203, Berlin, Germany.
Stefan SchwartzMedizinische Klinik mit Schwerpunkt Hämatologie und Onkologie, Charité - Universitätsmedizin Berlin Campus Benjamin Franklin, Hindenburgdamm 30, 12203, Berlin, Germany.
Bernd HammKlinik und Hochschulambulanz für Radiologie, Charité - Universitätsmedizin Berlin Campus Benjamin Franklin, Hindenburgdamm 30, 12203, Berlin, Germany.
Thomas ElgetiKlinik und Hochschulambulanz für Radiologie, Charité - Universitätsmedizin Berlin Campus Benjamin Franklin, Hindenburgdamm 30, 12203, Berlin, Germany.
Franklin University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe aim of this study was to compare the age-dependent diagnostic performance of clinical scores and D-dimer testing to identify patients with suspected pulmonary embolism (PE).

methodsConsecutive patients with suspected PE referred from the emergency department for computed tomography pulmonary angiography (CTPA) were retrospectively evaluated. Diagnostic scores (classic Wells score (WS), modified WS, simplified WS, revised Geneva score (GS), simplified GS, and YEARS score) were calculated from medical records. Results of D-dimer testing were retrieved from the laboratory database. CTPA was the diagnostic reference standard. Four age groups were analyzed (< 50, 50-64, 65-74, and ≥ 75 years). Statistical analysis used receiver operating characteristics as well as uni- and multivariate analyses with calculation of prediction models. The study was IRB approved.

resultsOne thousand consecutive patients were included. Areas under the curve (AUC) and accuracies were superior in patients < 50 years. For the classic WS, the AUC decreased by 11% with the optimal cutoff dropping 1.5 points in patients ≥ 75 years; for D-dimer levels, the optimal cutoff was 900 μg/L higher in both ≥ 65 years groups with a max. decrease of the AUC of 9%. In terms of accuracy, the YEARS score performed best across all groups. Classic WS and D-dimer level showed a significant interaction with patient age in prediction models.

conclusionD-dimer measurement and clinical scores perform best in patients < 50 years. The YEARS score performs best across all age groups and is therefore recommended. KEY POINTS: • The probability of pulmonary embolism predicted by fibrin fibrinogen degradation products and clinical scores shows the highest accuracy in patients < 50 years. • The probability of pulmonary embolism predicted by the YEARS score shows the highest accuracy in each age group. • Classic Wells score and fibrin fibrinogen degradation products show a significant interaction with patient age in a logistic regression model.

Indexed as

Acute DiseaseAgedAge FactorsArea Under CurveBiomarkersComputed Tomography AngiographyEmergency Service, HospitalFemaleFibrin Fibrinogen Degradation ProductsHumansMaleMiddle AgedProbabilityPulmonary EmbolismRetrospective StudiesBiomarkersFibrin Fibrinogen Degradation Productsfibrin fragment DComputed tomography angiographyFibrin fibrinogen degradation productsLogistic modelsProbabilityPulmonary embolism

Identifiers

PMID30783786
OpenAlexW2915482396

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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.