Evidence map›Paper›PMID 24354912›Full record

ArticleMultidisciplinary respiratory medicine2013

Diagnosis and treatment of pulmonary embolism: a multidisciplinary approach.

Federico Lavorini, Vitantonio Di Bello, Maria Luisa De Rimini, Giovanni Lucignani, Letizia Marconi, Gualtiero Palareti, Raffaele Pesavento, Domenico Prisco, Massimo Santini, Nicola Sverzellati and 2 more

Open access · goldAbstract read
In one paragraph

Article in Multidisciplinary respiratory medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 15% 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 47 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

12 authors at 7 institutions in 1 country.

Federico Lavorini
Vitantonio Di Bello
Maria Luisa De Rimini
Giovanni Lucignani
Letizia Marconi
Gualtiero Palareti
Raffaele Pesavento
Domenico Prisco
Massimo Santini
Nicola Sverzellati
Antonio Palla
Massimo PistolesiDepartment of Experimental and Clinical Medicine, University of Florence, Largo Brambilla 3, Florence 50134, Italy. massimo.pistolesi@unifi.it.
University of Pisa · ITUniversity of Florence · ITOspedale Monaldi · ITUniversity of Bologna · ITUniversity of Milan · ITUniversity of Padua · ITUniversity of Parma · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The diagnosis of pulmonary embolism (PE) is frequently considered in patients presenting to the emergency department or when hospitalized. Although early treatment is highly effective, PE is underdiagnosed and, therefore, the disease remains a major health problem. Since symptoms and signs are non specific and the consequences of anticoagulant treatment are considerable, objective tests to either establish or refute the diagnosis have become a standard of care. Diagnostic strategy should be based on clinical evaluation of the probability of PE. The accuracy of diagnostic tests for PE are high when the results are concordant with the clinical assessment. Additional testing is necessary when the test results are inconsistent with clinical probability. The present review article represents the consensus-based recommendations of the Interdisciplinary Association for Research in Lung Disease (AIMAR) multidisciplinary Task Force for diagnosis and treatment of PE. The aim of this review is to provide clinicians a practical diagnostic and therapeutic management approach using evidence from the literature.

Identifiers

PMID24354912
PMCPMC3878229
OpenAlexW2147229126

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.