Evidence map›Paper›PMID 28117395›Full record

ArticleScientific reports2017

Utility of baseline, interim and end-of-treatment

Yu Chang, Xiaorui Fu, Zhenchang Sun, Xinli Xie, Ruihua Wang, Zhaoming Li, Xudong Zhang, Guangyao Sheng, Mingzhi Zhang

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
2.4field-weighted citation impact, top 12% 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

19 citing papers in PubMed, 2 syntheses or guidelines pooled it, 30 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Prognostic value of the pre-treatment SUVmax ofCancer imaging : the official publication of the International Cancer Imaging Society · 2025
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  7. Prognostic Value ofKorean journal of radiology · 2024
    Article
  8. Article
  9. Article
  10. American journal of nuclear medicine and molecular imaging · 2023
    Review
  11. Weakly supervised deep learning for determining the prognostic value ofEuropean journal of nuclear medicine and molecular imaging · 2021
    Article
  12. Article
  13. Article
  14. Nomograms based on SUVmax ofCancer imaging : the official publication of the International Cancer Imaging Society · 2021
    Article
  15. Article
  16. Article
  17. Prognostic Values of BaselineBioMed research international · 2020
    Article
  18. Article
  19. 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

9 authors at 1 institution in 1 country.

Yu ChangDepartment of Oncology, the First Affiliated Hospital of Zhengzhou University, No. 1 Jianshe East Road, Zhengzhou, 450052, China.
Xiaorui FuDepartment of Oncology, the First Affiliated Hospital of Zhengzhou University, No. 1 Jianshe East Road, Zhengzhou, 450052, China.
Zhenchang SunDepartment of Oncology, the First Affiliated Hospital of Zhengzhou University, No. 1 Jianshe East Road, Zhengzhou, 450052, China.
Xinli XieDepartment of nuclear medicine, the First Affiliated Hospital of Zhengzhou University, No. 1 Jianshe East Road, Zhengzhou, 450052, China.
Ruihua WangDepartment of nuclear medicine, the First Affiliated Hospital of Zhengzhou University, No. 1 Jianshe East Road, Zhengzhou, 450052, China.
Zhaoming LiDepartment of Oncology, the First Affiliated Hospital of Zhengzhou University, No. 1 Jianshe East Road, Zhengzhou, 450052, China.
Xudong ZhangDepartment of Oncology, the First Affiliated Hospital of Zhengzhou University, No. 1 Jianshe East Road, Zhengzhou, 450052, China.
Guangyao ShengDepartment of Pediatrics, the First Affiliated Hospital of Zhengzhou University, No. 1 Jianshe East Road, Zhengzhou, 450052, China.
Mingzhi ZhangDepartment of Oncology, the First Affiliated Hospital of Zhengzhou University, No. 1 Jianshe East Road, Zhengzhou, 450052, China.
First Affiliated Hospital of Zhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Positron emission tomography-computed tomography (PET/CT) is widely used for initial staging and monitoring treatment responses in Hodgkin and diffuse large B-cell lymphoma. However, its prognostic value in extranodal natural killer (NK)/T-cell lymphoma (ENKL) remains unclear. Here, we conducted a retrospective study to determine the impact of PET/CT in ENKL. Fifty-two patients newly diagnosed with ENKL were enrolled. Baseline maximum standardized uptake values (SUVmax), whole-body metabolic tumor volume (WBMTV) and whole-body total lesion glycolysis (WBTLG) were recorded. Additionally, interim PET/CT (I-PET) and end-of-treatment PET/CT (E-PET) results were scored using a 5-point scale. Patients were divided into groups using baseline parameter cut-off values; significant differences were found in overall survival (OS) and progression-free survival (PFS) between the high and low WBMTV and WBTLG groups and in OS between the two SUVmax groups. Positive I-PET and E-PET results predicted inferior PFS and OS. A multivariate analysis showed that baseline WBTLG, I-PET and E-PET results were associated with PFS and OS, and baseline SUVmax was an independent predictor of OS. Thus, baseline WBTLG, I-PET and E-PET results are good predictors of PFS and OS in ENKL patients who received L-asparaginase/pegaspargase in their first-line treatment, and baseline SUVmax is a valuable tool for assessing OS.

Indexed as

Positron Emission Tomography Computed TomographyAdolescentAdultAgedAntineoplastic AgentsAsparaginaseFemaleFluorodeoxyglucose F18HumansLymphoma, Extranodal NK-T-CellMaleMiddle AgedPolyethylene GlycolsPrognosisRetrospective StudiesYoung AdultAntineoplastic AgentsAsparaginaseFluorodeoxyglucose F18pegaspargasePolyethylene Glycols

Identifiers

PMID28117395
PMCPMC5259805
OpenAlexW2581662047

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.