Evidence map›Paper›PMID 34034813›Full record

ArticleEuropean journal of medical research2021

Pulmonary sequestration with Aspergillus infection presenting as massive hemoptysis and hemothorax with highly elevated carcinoembryonic antigen in pleural effusion that mimics advanced lung malignancy.

Wei Luo, Tong-Chen Hu, Lincheng Luo, Ya-Lun Li

Open access · goldAbstract read
In one paragraph

Article in European journal of medical research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 32% 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

4 citing papers in PubMed, 3 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

4 authors at 2 institutions in 1 country.

Wei LuoDepartment of Respiratory and Critical Care Medicine, The People's Hospital of Leshan, Leshan, 614000, Sichuan, China.
Tong-Chen HuDepartment of Thoracic Surgery, The People's Hospital of Leshan, Leshan, 614000, Sichuan, China.
Lincheng LuoDepartment of Respiratory and Critical Care Medicine, The People's Hospital of Leshan, Leshan, 614000, Sichuan, China.
Ya-Lun LiDepartment of Respiratory and Critical Care Medicine, West China Hospital of Sichuan University, Chengdu, 610046, Sichuan, China. luobao97@163.com.
People's Hospital of Bishan District · CNWest China Hospital of Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPulmonary sequestration (PS) associated with massive hemoptysis, hemothorax, and elevated tumor markers or even lung malignancy has been reported in several studies. These clinical features combined with lung lesions on chest imaging are sometimes hard to differentiate from lung malignancies and often complicate the diagnostic procedure. CASE PRESENTATION: A 45-year-old man with PS presented with massive hemoptysis, hemothorax, and extremely elevated carcinoembryonic antigen (CEA) in pleural effusion was initially misdiagnosed with advanced lung carcinoma, but was ultimately diagnosed with PS with Aspergillus infection.

conclusionsPS is rarely concurrent with lung cancer; most of the time, it is misdiagnosed as a malignancy, especially when presenting with a fungal infection, which could remarkably elevate CEA in pleural effusion.

Indexed as

AspergillosisBronchopulmonary SequestrationDiagnosis, DifferentialHemoptysisHemothoraxHumansImage-Guided BiopsyLungLung NeoplasmsMaleMiddle AgedPatient AcuityPleural EffusionTomography, X-Ray ComputedAspergillus infectionCarcinoembryonic antigenPulmonary sequestration

Identifiers

PMID34034813
PMCPMC8146657
OpenAlexW3164107946

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.