Evidence map›Paper›PMID 27511316›Full record

ArticleJournal of diabetes investigation2017

Donor liver steatosis: A risk factor for early new-onset diabetes after liver transplantation.

Mengjuan Xue, Chaoyang Lv, Xianying Chen, Jing Liang, Chenhe Zhao, Yao Zhang, Xiaowu Huang, Qiman Sun, Ting Wang, Jian Gao and 4 more

Expression of concernOpen access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of diabetes investigation, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It carries an expression of concern. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

8 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Risk factors associated with diabetes after liver transplant.Archives of endocrinology and metabolism · 2022
    Article
  3. Review
  4. Review
  5. Review
  6. Post-Liver Transplantation Diabetes Mellitus: A Review of Relevance and Approach to Treatment.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2018
    Review
  7. Review
  8. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 4 institutions in 1 country.

Mengjuan XueDepartment of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, Shanghai, China.
Chaoyang LvDepartment of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, Shanghai, China.
Xianying ChenDepartment of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, Shanghai, China.
Jing LiangDepartment of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, Shanghai, China.
Chenhe ZhaoDepartment of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, Shanghai, China.
Yao ZhangDepartment of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, Shanghai, China.
Xiaowu HuangDepartment of Liver Surgery, Zhongshan Hospital, Fudan University, China.
Qiman SunDepartment of Liver Surgery, Zhongshan Hospital, Fudan University, China.
Ting WangDepartment of Liver Surgery, Zhongshan Hospital, Fudan University, China.
Jian GaoCenter of Clinical Epidemiology and Evidence-based Medicine, Fudan University, Shanghai, China.
Jian ZhouDepartment of Liver Surgery, Zhongshan Hospital, Fudan University, China.
Mingxiang YuDepartment of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, Shanghai, China.
Jia FanDepartment of Liver Surgery, Zhongshan Hospital, Fudan University, China.
Xin GaoDepartment of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, Shanghai, China.
The First Affiliated Hospital, Sun Yat-sen University · CNZhongshan Hospital · CNFudan University · CNSun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

AIMS/

introductionTo investigate whether donor liver steatosis increases the incidence of new-onset diabetes after transplantation (NODAT) in liver transplant recipients. MATERIALS AND

methodsWe retrospectively analyzed liver transplant recipients at Zhongshan Hospital, Shanghai, China, from April 2001 to December 2014. The final analysis involved 763 patients. The cumulative incidence of NODAT at 1, 3, 5 and 10 years after liver transplantation was investigated. Furthermore, according to the findings of donor liver biopsy before transplantation, patients were divided into steatotic and non-steatotic donor liver groups, and NODAT incidence was compared between these groups. Multivariate Cox regression was used to explore the risk factors for NODAT in the patients.

resultsOf the 763 donors, 309 (40.5%) had liver steatosis. At the end of follow up, 130 (42.1%) patients in the steatotic donor liver group developed NODAT, an incidence that exceeded that in the non-steatotic donor liver group (P = 0.001). The cumulative incidence of NODAT among all patients at 1, 3, 5, and 10 years after transplantation was 33, 43, 50 and 56%, respectively. The cumulative incidences of NODAT at 1, 3, 5 and 10 years in the steatotic donor liver group were significantly higher than those in the non-steatotic donor liver group (P = 0.003). Multivariate Cox regression analyses showed that donor liver steatosis was an independent risk factor for NODAT among liver transplant recipients, after other potential risk factors were adjusted for (hazard ratio 1.774, 95% confidence interval: 1.025-3.073; P = 0.041).

conclusionsDonor liver steatosis increases NODAT incidence among liver transplant recipients.

Indexed as

Diabetes MellitusFatty LiverFemaleHumansLiver TransplantationMaleMiddle AgedRetrospective StudiesRisk FactorsDonor liver steatosisLiver transplantationNew-onset diabetes after transplantation

Identifiers

PMID27511316
PMCPMC5334314
OpenAlexW2512034436

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.