Evidence map›Paper›PMID 29780631›Full record

ReviewJournal of thoracic disease2018

Screening for early stage lung cancer and its correlation with lung nodule detection.

Fangfei Qian, Wenjia Yang, Qunhui Chen, Xueyan Zhang, Baohui Han

Registry-linked trialOpen access · hybridAbstract readReview
In one paragraph

Review in Journal of thoracic disease, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05481762 (Evaluation of Computer-Aided Lung Nodule Detection Software in Chest CT Scans With an Assessment of Its Impact on Readers Decision-Making Process), which is not on this map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.0field-weighted citation impact, top 14% 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.

NCT05481762 completednot on this mapstarted 2022, after this paper: background citation

Evaluation of Computer-Aided Lung Nodule Detection Software in Chest CT Scans With an Assessment of Its Impact on Readers Decision-Making Process

TypeobservationalSponsorcontextflow GmbHRan2022 to 2022Enrolled337ConditionsLung CancerArmsAided read with contextflow DETECT Lung CT
3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Classification of Pulmonary Nodules in 2-[Nuclear medicine and molecular imaging · 2024
    Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. A Task-dependent Investigation on Dose and Texture in CT Image Reconstruction.IEEE transactions on radiation and plasma medical sciences · 2020
    Article
  11. Review
  12. Article
  13. Article
  14. Article
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 at 2 institutions in 1 country.

Fangfei QianDepartment of Pulmonary Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai 200030, China.
Wenjia YangDepartment of Pulmonary Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai 200030, China.
Qunhui ChenDepartment of Radiology, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai 200030, China.
Xueyan ZhangDepartment of Radiology, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai 200030, China.
Baohui HanDepartment of Pulmonary Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai 200030, China.
Shanghai Jiao Tong University · CNShanghai Chest Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Currently, the most effective way of reducing lung cancer mortality is early diagnosis of lung cancer. The National Lung Screening Trial has proved the efficacy of lung cancer screening using low-dose computed tomography to reduce lung cancer mortality. However, many questions remain surrounding lung cancer screening implementation, among which include how to select the optimal risk population, the personalized screening interval based different levels of risk, methods to improve diagnostic discrimination between malignant and benign disease in detected lung nodules, and the roles of biomolecular markers in stratifying risk and in guiding the management of indeterminate nodules. This review concentrates on the latest developments of lung cancer screening and provides an overview of the main unanswered questions on lung nodule detection.

Indexed as

early diagnosisLung cancerlung nodulescreening

Identifiers

PMID29780631
PMCPMC5945694
OpenAlexW2783212946

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.