Evidence map›Paper›PMID 37190743›Full record

ArticleTuberculosis and respiratory diseases2023

Problems in the Pathologic Diagnosis of Suspected Lung Cancer.

Soo Han Kim, Mi-Hyun Kim, Min Ki Lee, Jung Seop Eom

Abstract read
In one paragraph

Article in Tuberculosis and respiratory diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. 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

4 authors.

Soo Han KimDepartment of Internal Medicine, Pusan National University School of Medicine, Busan, Republic of Korea.
Mi-Hyun KimDepartment of Internal Medicine, Pusan National University School of Medicine, Busan, Republic of Korea.
Min Ki LeeDepartment of Internal Medicine, Pusan National University School of Medicine, Busan, Republic of Korea.
Jung Seop EomDepartment of Internal Medicine, Pusan National University School of Medicine, Busan, Republic of Korea.

Funding

Ministry of Science and ICTNational Research Foundation of Korea 2022R1F1A1074117Pusan National University Hospital
6 · The paper itself

Abstract

Since the introduction of low-dose computed tomography (CT) screening for patients at high risk of lung cancer, the detection rate of suspicious lung cancer has increased. In addition, there have been many advances in therapeutics targeting oncogenic drivers in non-small cell lung cancer. Therefore, accurate pathological diagnosis of lung cancer, including molecular diagnosis, is increasingly important. This review examines the problems in the pathological diagnosis of suspected lung cancer. For successful pathological diagnosis of lung cancer, clinicians should determine the appropriate modality of the diagnostic procedure, considering individual patient characteristics, CT findings, and the possibility of complications. Furthermore, clinicians should make efforts to obtain a sufficient amount of tissue sample using non- or less-invasive procedures for pathological diagnosis and biomarker analysis.

Indexed as

DiagnosisLung CancerProblem

Identifiers

PMID37190743
PMCPMC10323205

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.