Evidence map›Paper›PMID 30756189›Full record

ArticleJournal of cancer research and clinical oncology2019

Does FDG PET/CT have a role in determining adjuvant chemotherapy in surgical margin-negative stage IA non-small cell lung cancer patients?

Hye Lim Park, Ie Ryung Yoo, Sun Ha Boo, Sonya Youngju Park, Jae Kil Park, Sook Whan Sung, Seok Whan Moon

Open access · greenAbstract read
In one paragraph

Article in Journal of cancer research and clinical oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

12 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Influence of Semiquantitative [Pharmaceuticals (Basel, Switzerland) · 2022
    Article
  5. Article
  6. 2-[European journal of nuclear medicine and molecular imaging · 2021
    Article
  7. Article
  8. Article
  9. First-line treatment selection with organoids of anJournal of thoracic disease · 2020
    Review
  10. Article
  11. Article
  12. 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

7 authors at 1 institution in 1 country.

Hye Lim ParkDivision of Nuclear Medicine, Department of Radiology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, 222, Banpo-daero, Seocho-gu, Seoul, 06591, Republic of Korea.
Ie Ryung YooDivision of Nuclear Medicine, Department of Radiology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, 222, Banpo-daero, Seocho-gu, Seoul, 06591, Republic of Korea. iryoo@catholic.ac.kr.
Sun Ha BooDivision of Nuclear Medicine, Department of Radiology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, 222, Banpo-daero, Seocho-gu, Seoul, 06591, Republic of Korea.
Sonya Youngju ParkDivision of Nuclear Medicine, Department of Radiology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, 222, Banpo-daero, Seocho-gu, Seoul, 06591, Republic of Korea.
Jae Kil ParkDepartment of Thoracic and Cardiovascular Surgery, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Sook Whan SungDepartment of Thoracic and Cardiovascular Surgery, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Seok Whan MoonDepartment of Thoracic and Cardiovascular Surgery, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Catholic University of Korea · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo evaluate the prognostic value of FDG PET/CT metabolic parameter compared to clinico-pathological risk factors in surgical margin-negative stage IA non-small cell lung cancer (NSCLC) patients.

methods167 patients with consecutive FDG PET/CT scans from 2009 to 2015 performed for staging of NSCLC stage IA with plans for curative surgery were retrospectively reviewed. Maximum standardized uptake value (SUVmax) of primary tumor and mean SUV of liver were acquired from PET/CT. Tumor-to-liver SUV ratio (TLR) was calculated. Charts were reviewed to obtain basic patient characteristics (age, sex, smoking history, LDH, histologic subtype) and high-risk factors for adjuvant chemotherapy (tumor size, poorly differentiation, vascular invasion, and sub-lobar resection). Patients were dichotomized into two groups using optimal cut-off from receiver operating characteristic curve analysis of TLR to predict recurrence. Statistical analysis was done using Cox regression analysis and Kaplan-Meier method. Factors with P < 0.2 in univariate analysis were included in multivariate analysis.

resultsRecurrence rate was 12.6% (21/167). Median disease-free survival (DFS) was 47.2 months while 2-year and 5-year DFS rates were 93% and 86%, respectively. The optimal cut-off for TLR was 2.3. In univariate analysis, P value of sex, vascular invasion, and TLR were less than 0.2. In multivariable analysis, high TLR was the only factor that showed significant association with tumor recurrence (hazard ratio 3.795, P = 0.0048).

conclusionsTLR was an independent prognostic factor for recurrence and TLR could be an important risk factor to be considered in decision-making for adjuvant chemotherapy, even for those with stage IA NSCLC.

Indexed as

AdultAgedAged, 80 and overCarcinoma, Non-Small-Cell LungChemotherapy, AdjuvantDisease-Free SurvivalFemaleFluorodeoxyglucose F18HumansKaplan-Meier EstimateLung NeoplasmsMaleMiddle AgedNeoplasm StagingPositron Emission Tomography Computed TomographyProportional Hazards ModelsFluorodeoxyglucose F18CarcinomaNon-small cell lungPositron emission tomography–computed tomographyPrognosisStage IA

Identifiers

PMID30756189
PMCPMC11810241
OpenAlexW2912869799

What OpenQuestion holds

Textmetadata
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.