Evidence map›Paper›PMID 27336755›Full record

ArticlePloS one2016

Prognostic Value of Baseline 18F-FDG PET/CT Functional Parameters in Patients with Advanced Lung Adenocarcinoma Stratified by EGFR Mutation Status.

Dalong Wang, Minghui Zhang, Xuan Gao, Lijuan Yu

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
2.3field-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, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. The Predictive Value ofCurrent medical imaging · 2026
    Article
  3. Prediction of EGFR mutation status in lung adenocarcinoma based onAmerican journal of nuclear medicine and molecular imaging · 2023
    Article
  4. Value of PET imaging for radiation therapy.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2021
    Review
  5. Article
  6. Translational lung cancer research · 2020
    Article
  7. Diagnostic and Predictive Values ofCancer management and research · 2020
    Article
  8. Article
  9. Article
  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

4 authors at 2 institutions in 1 country.

Dalong WangDepartment of Radiology, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province, China.
Minghui ZhangDepartment of Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang Province, China.
Xuan GaoDepartment of PET/CT, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang Province, China.
Lijuan YuDepartment of PET/CT, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang Province, China.
Harbin Medical University · CNSecond Affiliated Hospital of Harbin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The study objective was to retrospectively analyze the metabolic variables derived from 18 F-fluorodeoxyglucose (18F-FDG) positron emission tomography/computed tomography (PET/CT) as predictors of progression-free survival (PFS) and overall survival (OS) in advanced lung adenocarcinoma stratified by epidermal growth factor receptor (EGFR) mutation status. A total of 176 patients (91, EGFR mutation; 85, wild-type EGFR) who underwent 18F-FDG PET/CT before treatment were enrolled. The main 18F-FDG PET/CT-derived variables: primary tumor maximum standardized uptake value (SUVmaxT), primary tumor total lesion glycolysis (TLGT), the maximum SUVmax of all selected lesions in whole body determined using the Response Evaluation Criteria In Solid Tumors (RECIST) 1.1 criteria (SUVmaxWBR), and whole-body total TLG determined using the RECIST 1.1 criteria (TLGWBR) were measured. Survival analysis regarding TLGWBR, and other factors in advanced lung adenocarcinoma patients stratified using EGFR mutation status, were evaluated. The results indicated that high TLGWBR (≥259.85), EGFR wild-type, and high serum LDH were independent predictors of worse PFS and OS in all patients with advanced lung adenocarcinoma. Among patients with wild-type EGFR, only TLGWBR retained significance as an independent predictor of both PFS and OS. Among patients with the EGFR mutation, high serum LDH level was an independent predictor of worse PFS and OS, and high TLGWBR (≥259.85) was an independent predictor of worse PFS but not worse OS. In conclusion, TLGWBR is a promising parameter for prognostic stratification of patients with advanced lung adenocarcinoma and EGFR status; however, it cannot be used to further stratify the risk of worse OS for patients with the EGFR mutation. Further prospective studies are needed to validate our findings.

Indexed as

Fluorodeoxyglucose F18MutationPositron Emission Tomography Computed TomographyAdenocarcinomaAdenocarcinoma of LungAdultAgedAged, 80 and overBiomarkers, TumorErbB ReceptorsFemaleHumansKaplan-Meier EstimateLung NeoplasmsMaleMiddle AgedBiomarkers, TumorErbB ReceptorsFluorodeoxyglucose F18

Identifiers

PMID27336755
PMCPMC4918955
OpenAlexW2470043979

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.