Evidence map›Paper›PMID 28210158›Full record

ReviewLung Cancer (Auckland, N.Z.)2016

Optimal delivery of follow-up care following pulmonary lobectomy for lung cancer.

Ying-Yi Chen, Tsai-Wang Huang, Hung Chang, Shih-Chun Lee

Open access · goldAbstract readReview
In one paragraph

Review in Lung Cancer (Auckland, N.Z.), 2016. 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
0.8field-weighted citation impact, top 25% 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, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. 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

4 authors at 2 institutions in 1 country.

Ying-Yi ChenDivision of Thoracic Surgery, Department of Surgery, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.
Tsai-Wang HuangDivision of Thoracic Surgery, Department of Surgery, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.
Hung ChangDivision of Thoracic Surgery, Department of Surgery, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.
Shih-Chun LeeDivision of Thoracic Surgery, Department of Surgery, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.
National Defense Medical Center · TWTri-Service General Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe rationale for oncologic surveillance following pulmonary lobectomy is to detect recurrent disease or a second primary lung cancer early enough so that an intervention can increase survival and/or improve quality of life. Therefore, we reviewed literature for international guidelines and reorganized these useful factors associated with non-small-cell lung cancer (NSCLC) recurrence as remedies in postoperative follow-up.

methodThe population of interest for this review was patients who had been treated with complete resection for primary NSCLC and were in follow-up.

resultGuidelines on follow-up care for NSCLC vary internationally. Because of the production of progressive medical modalities, the current follow-up care should be corrected.

conclusionThe specific follow-up schedule for computed tomography imaging may be more or less frequent, depending upon risk factors for recurrence. Many different predictors of postoperative recurrence may help to optimize the patient selection for specified surveillance guidelines and personalized adjuvant therapies to prevent possibly occult micrometastases and to get a better outcome.

Indexed as

follow-uplung cancerrecurrencesurveillance

Identifiers

PMID28210158
PMCPMC5310698
OpenAlexW2332725958

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.