Evidence map›Paper›PMID 35736870›Full record

ArticleTomography (Ann Arbor, Mich.)2022

What Findings on Chest CTs Can Delay Diagnosis of Pleuropulmonary Paragonimiasis?

Kai Ke Li, Gong Yong Jin, Keun Sang Kwon

Abstract read
In one paragraph

Article in Tomography (Ann Arbor, Mich.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Frontiers in medicine · 2026
    Article
  3. Review
  4. Article
  5. Paragonimiasis.Advances in experimental medicine and biology · 2024
    Review
  6. Parasitic lung diseases.European respiratory review : an official journal of the European Respiratory Society · 2022
    Review
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

3 authors.

Kai Ke LiDepartment of Radiology, Jeonbuk National University Medical School, Jeonju 54896, Korea.
Gong Yong JinDepartment of Radiology, Jeonbuk National University Medical School, Jeonju 54896, Korea.
Keun Sang KwonDepartment of Province, Jeonbuk National University Medical School, Jeonju 54896, Korea.ORCID 0000-0001-6795-6881

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe purpose of this study was to investigate which findings were delayed in diagnosis with respect to chest CT findings of paragonimiasis.

methodsThis retrospective, informed questionnaire study was conducted to evaluate chest CT scans of 103 patients (58 men and 45 women; mean age 46.1 ± 14.6 years). The patients were diagnosed with paragonimiasis from 2003 to 2008 in four tertiary hospitals. Statistical analysis was performed using the chi-square test to identify differences between an initially correct diagnosis and an incorrect one of paragonimiasis on chest CT scans, for which we evaluated such variables as the location of lesion, type of parenchymal lesions, and worm migration track.

resultsNodular opacities on chest CT scans were the most common findings (53/94, 56.4%). The sign of worm migration tracks was only present in 18.1% of cases (17/94). Although statistically insignificant, the form of consolidation (18/25, 72%) and mass (6/8, 75%) on CT was common in correct diagnostics, and the form of the worm migration track (12/17, 70.6%) was high in correct diagnostics.

conclusionA delayed diagnosis of paragonimiasis may often be made in patients with non-nodular, parenchymal lesions who are negative for worm migration track on chest CT scans.

Indexed as

Lung Diseases, ParasiticParagonimiasisFemaleHumansRetrospective StudiesSurveys and QuestionnairesTomography, X-Ray Computedcomputed tomography (CT)lungparagonimiasisparasitic disease

Identifiers

PMID35736870
PMCPMC9228157

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.