Evidence map›Paper›PMID 36010225›Full record

ReviewDiagnostics (Basel, Switzerland)2022

Diagnosis of Pulmonary Embolism during Pregnancy.

Helia Robert-Ebadi, Thomas Moumneh, Grégoire Le Gal, Marc Righini

Abstract readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

4 authors.

Helia Robert-EbadiDivision of Angiology and Hemostasis, Department of Medicine, Geneva University Hospitals and Faculty of Medicine, 4, Rue Gabrielle-Perret-Gentil, CH-1211 Geneva, Switzerland.ORCID 0000-0003-3801-1269
Thomas MoumnehDépartement de Médecine d'Urgence, CHU d'Angers, Institut MITOVASC, UMR CNRS 6015 UMR INSERM 1083, Université d'Angers, 49035 Angers, France.ORCID 0000-0002-4229-9923
Grégoire Le GalDepartment of Medicine, Ottawa Hospital Research Institute, University of Ottawa, Ottawa, ON K1Y 4E9, Canada.ORCID 0000-0002-9253-248X
Marc RighiniDivision of Angiology and Hemostasis, Department of Medicine, Geneva University Hospitals and Faculty of Medicine, 4, Rue Gabrielle-Perret-Gentil, CH-1211 Geneva, Switzerland.ORCID 0000-0003-1211-2969

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although rare, pulmonary embolism (PE) remains one of the most common causes of severe maternal morbidity and mortality during pregnancy. Among pregnant women with suspected PE, the prevalence of confirmed disease is far lower than in the general population, reflecting the fear of missing the diagnosis and a low threshold to suspect PE in this setting. Two prospective management outcome trials have recently assessed two different diagnostic algorithms based on the assessment of clinical probability, D-dimer, venous compression ultrasonography of the lower limbs (CUS), and computed tomography pulmonary angiography (CTPA). Both demonstrated the safety of such strategies to exclude PE, with a very low failure rate defined as the rate of subsequent 3-month venous thromboembolism in women left untreated after a negative work-up. These studies were also the first to prospectively demonstrate the safety of negative D-dimer associated with a clinical prediction rule to exclude PE without any chest imaging. Pregnant women are known to be a subgroup at particularly high risk of inappropriate diagnostic management, so the implementation of such validated diagnostic strategies in clinical practice should represent a high priority goal.

Indexed as

clinical probabilitycomputed tomography pulmonary angiographyD-dimerdiagnostic strategypregnancypulmonary embolismventilation-perfusion lung scan

Identifiers

PMID36010225
PMCPMC9406738

What OpenQuestion holds

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Registered trials

None linked

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.