Evidence map›Paper›PMID 33719820›Full record

Observational studyRenal failure2021

A prediction model of delayed graft function in deceased donor for renal transplant: a multi-center study from China.

Wujun Xue, Changxi Wang, Jianghua Chen, Xuyong Sun, Xiaotong Wu, Longkai Peng, Zhishui Chen, Qingshan Qu, Xiaodong Zhang, Yaowen Fu and 19 more

Open access · goldAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Renal failure, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

9 citing papers in PubMed, 12 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Observational
  7. Donor Characteristics Associated With Graft Loss and Delayed Graft Function in Very-Aged Kidney Donors: An Observational Multicentric Study.Transplant international : official journal of the European Society for Organ Transplantation · 2025
    Observational
  8. Article
  9. 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

29 authors at 20 institutions in 1 country.

Wujun XueThe First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.ORCID https://orcid.org/0000-0002-2833-7786
Changxi WangThe First Affiliated Hospital Of Sun Yat-sen University, Guangzhou, China.
Jianghua ChenFirst Affiliated Hospital Of Zhejiang University Medical School, Hangzhou, China.
Xuyong SunThe Chinese People's Liberation Army 923 Hospital, Nanjing, China.
Xiaotong WuSecond People's Hospital of Shanxi Province, Taiyuan, China.
Longkai PengThe Second Xiangya Hospital Of Central South University, Changsha, China.
Zhishui ChenTongji Hospital Affiliated to Tongji Medical College Huazhong University of Science and Technology, Wuhan, China.
Qingshan QuPeople's Hospital of Zhengzhou City, Zhengzhou, China.
Xiaodong ZhangBeijing Chaoyang Hospital Affiliated to The Capital University of Medical Sciences, Beijing, China.
Yaowen FuBethune First Hospital of Jilin University, Changchun, China.
Zhen DongThe Affiliated Hospital of Qingdao University, Qingdao, China.
Zheng ChenThe Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Guiwen FengThe First Affiliated Hospital Of Zhengzhou University, Zhengzhou, China.
Tao LinWest China Hospital of Sichuan University, Chengdu, China.
Tongyi MenThe First Affiliated Hospital of the First Shandong Medical University, Jinan, China.
Lixin YuNanfang Hospital of Southern Medical University, Guangzhou, China.
Qiquan SunThe Third Hospital Affiliated of Sun-Yet University, Guangzhou, China.
Yongheng ZhaoKunming City First People's Hospital, Kunming, China.
Jiangqiao ZhouPeople's Hospital of Wuhan University, Wuhan, China.
Li ZengChanghai Hospital of Naval Military Medical University, Shanghai, China.
Ming ZhaoZhujiang Hospital, of Southern Medical University, Guangzhou, China.
Jianming TanThe 900 Hospital of Joint Logistic Support Department of PLA, Fuzhou, China.
Qifa YeZhongnan Hospital of Wuhan University, Wuhan, China.
Bingyi ShiThe Eighth Medical Center of People's Liberation Army General Hospital, Beijing, China.
Yingzi MingThe Third Xiangya Hospital of Central South University, Changsha, China.
Tongyu ZhuZhongshan Hospital Affiliated to Fudan University, Shanghai, China.
Weiguo SuiThe 924 Hospital of Joint Logistic Support Department of PLA, Guilin, China.
Chibing HuangThe Second Affiliated Hospital of Army Military Medical University, Chongqing, China.
Yingxin FuTianjin First Central Hospital, Tianjin, China.
Central South University · CNJilin University · CNSecond Affiliated Hospital of Guangzhou Medical University · CNSun Yat-sen University · CNWuhan University · CN81th Hospital of PLA · CNArmy Medical University · CNBeijing Chao-Yang Hospital, Capital Medical University · CNChinese People’s Liberation Army 263 hospital · CNFirst Affiliated Hospital of Xi'an Jiaotong University · CNFirst Affiliated Hospital of Zhengzhou University · CNFirst Affiliated Hospital Zhejiang University · CNFudan University · CNNanfang Hospital · CNPeople's Liberation Army No. 150 Hospital · CNQingdao University · CNSecond Military Medical University · CNShanxi Medical University · CNSichuan University · CNThe First Hospital of Kunming · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundKidneys obtained from deceased donors increase the incidence of delayed graft function (DGF) after renal transplantation. Here we investigated the influence of the risk factors of donors with DGF, and developed a donor risk scoring system for DGF prediction.

methodsThis retrospective study was conducted in 1807 deceased kidney donors and 3599 recipients who received donor kidneys

resultsThe incidence of DGF from donors was 19.0%. Six of the donor characteristics analyzed, i.e., age, cause of death, history of hypertension, terminal serum creatinine, persistence of hypotension, and cardiopulmonary resuscitation (CPR) time were risk factors for DGF. A 49-point scoring system of donor risk was established for DGF prediction and exhibited a superior degree of discrimination. External validation of DGF prediction revealed area under the receiver-operating characteristic (AUC) curves of 0.7552.

conclusionsOur study determined the deceased donor risk factors related to DGF after renal transplantation pertinent to the Chinese cohort. The scoring system developed here had superior diagnostic significance and consistency and can be used by clinicians to make evidence-based decisions on the quality of kidneys from deceased donors and guide renal transplantation therapy.

Indexed as

AdultBrain DeathChinaCold IschemiaCreatinineDelayed Graft FunctionFemaleGraft SurvivalHumansIncidenceKidneyKidney TransplantationMaleMiddle AgedRenal DialysisRetrospective StudiesCreatininedeceased donordelayed graft functionRenal transplantationrisk factors

Identifiers

PMID33719820
PMCPMC7971200
OpenAlexW3136574183

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.