Evidence map›Paper›PMID 32695241›Full record

ArticleDisease markers2020

Novel Value of Preoperative Gamma-Glutamyltransferase Levels in the Prognosis of AFP-Negative Hepatocellular Carcinoma.

Liang-He Lu, Wei-Wei, Anna Kan, Jie-Mei, Yi-Hong Ling, Shao-Hua Li, Rong-Ping Guo

Open access · hybridAbstract read
In one paragraph

Article in Disease markers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. The Landscape Of Alpha Fetoprotein In Hepatocellular Carcinoma: Where Are We?International journal of biological sciences · 2022
    Review
  6. 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.

Liang-He LuDepartment of Hepatobiliary Oncology, Sun Yat-sen University Cancer Center, China.
Wei-WeiDepartment of Hepatobiliary Oncology, Sun Yat-sen University Cancer Center, China.
Anna KanDepartment of Hepatobiliary Oncology, Sun Yat-sen University Cancer Center, China.
Jie-MeiDepartment of Hepatobiliary Oncology, Sun Yat-sen University Cancer Center, China.
Yi-Hong LingState Key Laboratory of Oncology in South China, China.
Shao-Hua LiDepartment of Hepatobiliary Oncology, Sun Yat-sen University Cancer Center, China.
Rong-Ping GuoDepartment of Hepatobiliary Oncology, Sun Yat-sen University Cancer Center, China.ORCID https://orcid.org/0000-0003-2799-3463
Sun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGamma-glutamyltransferase (GGT) is involved in tumor development and progression, but its prognostic value in

methodsA large cohort of 678 patients with AFP-negative HCC following curative resection who had complete data were enrolled in this study. The optimal cutoff value for the preoperative level of GGT was determined by the X-tile program. Independent prognostic factors for overall survival (OS) and disease-free survival (DFS) were also identified.

resultsThe optimal cutoff values for the preoperative levels of GGT were 37.2 U/L and 102.8 U/L, which were used to divide all patients into three subgroups (group 1, GGT < 37.2 U/L (

conclusionsElevated preoperative GGT levels are associated with an unfavorable tumor burden and serve as an independent prognostic marker for worse outcomes in AFP-negative HCC patients following resection.

Indexed as

Adultalpha-FetoproteinsBiomarkers, TumorCarcinoma, HepatocellularDisease-Free SurvivalFemalegamma-GlutamyltransferaseHumansLiver NeoplasmsMaleMiddle AgedPreoperative CarePrognosisAFP protein, humanalpha-FetoproteinsBiomarkers, Tumorgamma-Glutamyltransferasegamma-glutamyltransferase, human

Identifiers

PMID32695241
PMCPMC7368954
OpenAlexW3041852285

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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.