Evidence map›Paper›PMID 24307805›Full record

ArticleWorld journal of gastroenterology2013

"Metroticket" predictor for assessing liver transplantation to treat hepatocellular carcinoma: a single-center analysis in mainland China.

Jian-Yong Lei, Wen-Tao Wang, Lu-Nan Yan

Abstract readValidation Study
In one paragraph

Article in World journal of gastroenterology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Article
  2. Hepatocellular Carcinoma and the Role of Liver Transplantation: A Review.Journal of clinical and translational hepatology · 2021
    Review
  3. Article
  4. New advances in hepatocellular carcinoma.World journal of hepatology · 2016
    Review
  5. Hepatocellular carcinoma: A comprehensive review.World journal of hepatology · 2015
    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

3 authors.

Jian-Yong LeiJian-Yong Lei, Wen-Tao Wang, Lu-Nan Yan, Liver Transplantation Center, West China Hospital of Sichuan University, Chengdu 610041, Sichuan Province, China.
Wen-Tao Wang
Lu-Nan Yan

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo validate the "Metroticket" predictor using a large cohort of liver transplantation (LT) patients with hepatocellular carcinoma (HCC) in China.

methodsIn total, 230 cases of LT for HCC treatment at our center, from July 2000 to August 2008, were included in the present study. The predicted 1-, 3- and 5-year post-LT survival rates were calculated using the Metroticket model (http://89.96.76.14/metroticket/calculator/). The predicted and observed long-term survival rates were then compared and analyzed.

resultsThe predicted survival rates for all 230 cases, as calculated by the Metroticket model, were 64.7% and 56.2% at 3 and 5 years, respectively, and the observed survival rates for these patients were 71.3% and 57.8%, respectively. For the 23 cases with macrovascular invasion, the predicted 5-year survival rate was 43.5%, whereas the observed 5-year survival rate was only 8.7%. For the 42 cases with microvascular invasion but an absence of macrovascular invasion, the predicted 5-year survival rate was 44.9%, and the observed 5-year survival rate was 50%. For the remaining 165 patients without any vascular invasion, the predicted 5-year survival rate was 65.8%, and the observed 5-year survival rate was 66.7%.

conclusionThe Metroticket model can be used to accurately predict survival in HCC-related LT cases with an absence of macrovascular invasion.

Indexed as

Decision Support TechniquesLiver TransplantationAdultCarcinoma, HepatocellularChinaFemaleHumansKaplan-Meier EstimateLiver NeoplasmsMaleMiddle AgedNeoplasm InvasivenessPatient SelectionPredictive Value of TestsReproducibility of ResultsRetrospective StudiesHepatocellular carcinomaLiver transplantationMetroticketModelSurvival

Identifiers

PMID24307805
PMCPMC3848159

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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.