Evidence map›Paper›PMID 41282014›Full record

ArticleFrontiers in medicine2025

Clinical characteristic, treatment, and mortality among cancer and non-cancer patients presented with incidental pulmonary embolism.

Chatree Chai-Adisaksopha, Warawut Chaiwong, Piangrawee Niprapan, Adisak Tantiworawit, Chaiwat Bumroongkit

Abstract read
In one paragraph

Article in Frontiers in medicine, 2025. 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

5 authors.

Chatree Chai-AdisaksophaDivision of Hematology, Department of Internal Medicine, Chiang Mai University, Chiang Mai, Thailand.
Warawut ChaiwongDivision of Pulmonary, Critical Care and Allergy, Department of Internal Medicine, Chiang Mai University, Chiang Mai, Thailand.
Piangrawee NiprapanDivision of Hematology, Department of Internal Medicine, Chiang Mai University, Chiang Mai, Thailand.
Adisak TantiworawitDivision of Hematology, Department of Internal Medicine, Chiang Mai University, Chiang Mai, Thailand.
Chaiwat BumroongkitDivision of Pulmonary, Critical Care and Allergy, Department of Internal Medicine, Chiang Mai University, Chiang Mai, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Cancer patients are at an increased risk of developing venous thrombosis Advances in multidetector computed tomography (CT) scanners have facilitated the detection of pulmonary embolism (PE). However, the natural course of incidental PE (IPE), particularly in cancer patients, remains controversial. Methods: This retrospective cohort study was conducted at a tertiary medical center in Thailand. Patients aged 15 years or older who were diagnosed with PE between 2011 and 2020 were included. The study population was divided into two groups: the IPE group and the suspected PE (SPE) group. The primary outcome was 30-day mortality. Results: A total of 736 patients with acute PE were included in the analysis, with 281 classified as having IPE and 455 as having SPE. Active cancer was more prevalent in the IPE group compared to the SPE group (70.8% vs. 46.6%, Conclusion: IPE is common in cancer and is associated with delayed anticoagulation but similar adjusted short-term mortality to SPE. System-level pathways to expedite treatment for IPE may improve care, especially in cancer patients.

Indexed as

cancer associated thrombosisincidental pulmonary embolismPEpulmonary embolismsuspected pulmonaryembolism

Identifiers

PMID41282014
PMCPMC12631205

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.