Evidence map›Paper›PMID 26177708›Full record

ArticleFrontiers of medicine2015

Exploring the diagnosis markers for gallbladder cancer based on clinical data.

Lingqiang Zhang, Runchen Miao, Xiude Zhang, Wei Chen, Yanyan Zhou, Ruitao Wang, Ruiyao Zhang, Qing Pang, Xinsen Xu, Chang Liu

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Article in Frontiers of medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

7 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Sex-related disparities in outcomes of survival in biliary tract cancer patients.Journal of cancer research and clinical oncology · 2025
    Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Circulating MicroRNAs as Biomarkers in Biliary Tract Cancers.International journal of molecular sciences · 2016
    Review
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

10 authors at 3 institutions in 1 country.

Lingqiang ZhangDepartment of Hepatobiliary Surgery, the First Affiliated Hospital, School of Medicine, Xi'an Jiaotong University, Xi'an, 710061, China.
Runchen Miao
Xiude Zhang
Wei Chen
Yanyan Zhou
Ruitao Wang
Ruiyao Zhang
Qing Pang
Xinsen Xu
Chang Liu
Xi'an Jiaotong University · CNFirst Affiliated Hospital of Xi'an Jiaotong University · CNXian Yang Central Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Presently, no effective markers are available to facilitate gallbladder cancer (GBC) diagnosis. This study aims to explore available markers for GBC diagnosis. Clinical data of 144 GBC and 116 cholelithiasis patients were retrospectively reviewed. Logistic regression analysis was performed to evaluate GBC risk factors. A receiver operating characteristic (ROC) curve was used to assess the diagnosis value of the risk factors. By comparing the characteristic of GBC and cholelithiasis patients, the following factors exhibited statistical difference: age, gender, gallstones, total bilirubin (TB), alkaline phosphatase (ALP), aspartate aminotransferase (AST), alanine aminotransferase (ALT), platelet count (PLT), CA125 (carcinoembryonic antigen 125), and CA199 (carbohydrate antigen 199). Logistic regression analysis indicated that age [odds ratio (OR), 1.032; 95%confidence interval (95% CI), 1.004 to 1.061; P = 0.024], gender (OR, 0.346; 95% CI, 0.167 to 0.716; P = 0.004), gallstones (OR, 0.027; 95% CI, 0.007 to 0.095; P < 0.001), ALP (OR, 1.003; 95% CI, 1.000 to 1.006; P = 0.032), TB (OR, 1.004; 95% CI, 1.000 to 1.009; P = 0.042), and CA125 (OR, 1.007; 95% CI, 1.002 to 1.013; P = 0.011) were independent risk factors for GBC. According to the ROC curve, CA125 [area under curve (AUC), 0.720], ALP (AUC, 0.713), TB (AUC, 0.636), and age (AUC, 0.573) were valuable diagnosis markers. Additionally, based on the independent risk factors, the GBC diagnosis model was established. Age, TB, ALP, and CA125 can be used as auxiliary diagnosis factors of GBC. The diagnosis model provides a quantitative tool for GBC diagnosis when comprehensively considering various risk factors.

Indexed as

AdultAgedAlkaline PhosphataseAntigens, Tumor-Associated, CarbohydrateBilirubinBiomarkers, TumorCA-125 AntigenCholelithiasisFemaleGallbladder NeoplasmsHumansLogistic ModelsMaleMiddle AgedMultivariate AnalysisRetrospective StudiesAlkaline PhosphataseAntigens, Tumor-Associated, CarbohydrateBilirubinBiomarkers, TumorCA-125 Antigencarbohydrate antigen 199, human

Identifiers

PMID26177708
OpenAlexW2137886273

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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.