Evidence map›Paper›PMID 42501018›Full record

ArticleClinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis

Diagnostic Management of Asymptomatic Pulmonary Embolism: A Predictive Model Integrating Inflammatory Markers and Clinical Characteristics in Patients With Deep Vein Thrombosis.

Xiaomin Mu, Qi An, Guangxu Wan, Ziqiang Sun

Abstract read
In one paragraph

Article in Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Xiaomin MuJining Medical University, Jining, China.
Qi AnJining No.2 People's Hospital, Jining, China.
Guangxu WanAffiliated Hospital of Jining Medical University, Jining, China.
Ziqiang SunAffiliated Hospital of Jining Medical University, Jining, China.ORCID 0009-0000-5981-0495

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BackgroundPulmonary embolism (PE) may be asymptomatic due to the compensatory function of the lungs themselves, which easily leads to missed diagnosis and increased risks. Although computed tomography pulmonary angiography (CTPA) can improve the detection rate, routine CTPA screening for patients with concurrent lower extremity deep vein thrombosis (DVT) still faces challenges. These include limited medical resources, restricted use of contrast agents (e.g., allergies, renal function issues), and low specificity of D-dimer. Therefore, there is a need to develop optimized diagnostic strategies based on inpatient DVT populations to accurately identify high-risk patients requiring CTPA, while acknowledging that these findings cannot be directly generalized to all DVT outpatients and reduce unnecessary contrast agent exposure.MethodsThis retrospective study analyzed patients admitted with lower extremity DVT (Jan 2022-Apr 2024). After excluding those with acute PE symptoms or other key confounders (e.g., recent anticoagulation), 401 patients were included. All underwent CTPA and were classified into asymptomatic PE (n=198) or isolated DVT (n=203) groups. Predictors of asymptomatic PE were identified using binary logistic regression.ResultsAfter screening based on inclusion and exclusion criteria, 401 patients were finally included in the analysis, with 198 cases in the asymptomatic PE group and 203 cases in the DVT group. Multivariate regression analysis showed that hypertension, neutrophil-to-lymphocyte ratio (NLR), smoking duration, right distal DVT, right proximal DVT, and lower extremity swelling and pain were independent risk factors for asymptomatic PE (OR = 3.461, 1.303, 1.103, 2.878, 4.495, 7.176,). The area under the curve (AUC) of the model was 0.874, with a sensitivity of 73.74% and a specificity of 82.27%.ConclusionThe combined detection of these independent risk factors-hypertension, NLR, smoking duration, right distal DVT, right proximal DVT, and lower extremity swelling and pain-is expected to facilitate early screening for asymptomatic PE in hospitalized DVT populations, with further external verification required to extend its applicability to broader DVT cohorts.

Indexed as

InflammationPulmonary EmbolismVenous ThrombosisAgedBiomarkersComputed Tomography AngiographyFemaleHumansMaleMiddle AgedRetrospective StudiesRisk FactorsBiomarkerscomputed tomography pulmonary angiographyNLRpredictionpulmonary embolism

Identifiers

PMID42501018
PMCPMC13401655

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.