Evidence map›Paper›PMID 38167085›Full record

ArticleStem cell research & therapy2024

Identifying optimal candidates for autologous peripheral blood stem cell therapy in patients with decompensated liver cirrhosis: a prognostic scoring system.

Siyuan Tian, Guanya Guo, Xia Zhou, Yansheng Liu, Gui Jia, Linhua Zheng, Lina Cui, Kemei Wang, Miao Zhang, Keshuai Sun and 6 more

Open access · goldAbstract read
In one paragraph

Article in Stem cell research & therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 100% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

16 authors at 1 institution in 1 country.

Siyuan Tian *State Key Laboratory of Cancer Biology, National Clinical Research Center for Digestive Diseases, Xijing Hospital of Digestive Diseases, Air Force Military Medical University, The Fourth Military Medical University, Xi'an, 710032, Shaanxi, China.
Guanya Guo *State Key Laboratory of Cancer Biology, National Clinical Research Center for Digestive Diseases, Xijing Hospital of Digestive Diseases, Air Force Military Medical University, The Fourth Military Medical University, Xi'an, 710032, Shaanxi, China.
Xia Zhou *State Key Laboratory of Cancer Biology, National Clinical Research Center for Digestive Diseases, Xijing Hospital of Digestive Diseases, Air Force Military Medical University, The Fourth Military Medical University, Xi'an, 710032, Shaanxi, China.
Yansheng LiuState Key Laboratory of Cancer Biology, National Clinical Research Center for Digestive Diseases, Xijing Hospital of Digestive Diseases, Air Force Military Medical University, The Fourth Military Medical University, Xi'an, 710032, Shaanxi, China.
Gui JiaState Key Laboratory of Cancer Biology, National Clinical Research Center for Digestive Diseases, Xijing Hospital of Digestive Diseases, Air Force Military Medical University, The Fourth Military Medical University, Xi'an, 710032, Shaanxi, China.
Linhua ZhengState Key Laboratory of Cancer Biology, National Clinical Research Center for Digestive Diseases, Xijing Hospital of Digestive Diseases, Air Force Military Medical University, The Fourth Military Medical University, Xi'an, 710032, Shaanxi, China.
Lina CuiState Key Laboratory of Cancer Biology, National Clinical Research Center for Digestive Diseases, Xijing Hospital of Digestive Diseases, Air Force Military Medical University, The Fourth Military Medical University, Xi'an, 710032, Shaanxi, China.
Kemei WangState Key Laboratory of Cancer Biology, National Clinical Research Center for Digestive Diseases, Xijing Hospital of Digestive Diseases, Air Force Military Medical University, The Fourth Military Medical University, Xi'an, 710032, Shaanxi, China.
Miao ZhangState Key Laboratory of Cancer Biology, National Clinical Research Center for Digestive Diseases, Xijing Hospital of Digestive Diseases, Air Force Military Medical University, The Fourth Military Medical University, Xi'an, 710032, Shaanxi, China.
Keshuai SunDepartment of Gastroenterology, The Air Force Hospital From Eastern Theater of PLA, Nanjing, 210002, Jiangsu, China.
Shuoyi MaState Key Laboratory of Cancer Biology, National Clinical Research Center for Digestive Diseases, Xijing Hospital of Digestive Diseases, Air Force Military Medical University, The Fourth Military Medical University, Xi'an, 710032, Shaanxi, China.
Chunmei YangState Key Laboratory of Cancer Biology, National Clinical Research Center for Digestive Diseases, Xijing Hospital of Digestive Diseases, Air Force Military Medical University, The Fourth Military Medical University, Xi'an, 710032, Shaanxi, China.
Xinmin ZhouState Key Laboratory of Cancer Biology, National Clinical Research Center for Digestive Diseases, Xijing Hospital of Digestive Diseases, Air Force Military Medical University, The Fourth Military Medical University, Xi'an, 710032, Shaanxi, China.
Changcun GuoState Key Laboratory of Cancer Biology, National Clinical Research Center for Digestive Diseases, Xijing Hospital of Digestive Diseases, Air Force Military Medical University, The Fourth Military Medical University, Xi'an, 710032, Shaanxi, China. guochc@sina.com.
Yulong ShangState Key Laboratory of Cancer Biology, National Clinical Research Center for Digestive Diseases, Xijing Hospital of Digestive Diseases, Air Force Military Medical University, The Fourth Military Medical University, Xi'an, 710032, Shaanxi, China. shangyul870222@163.com.
Ying HanState Key Laboratory of Cancer Biology, National Clinical Research Center for Digestive Diseases, Xijing Hospital of Digestive Diseases, Air Force Military Medical University, The Fourth Military Medical University, Xi'an, 710032, Shaanxi, China. hanying1@fmmu.edu.cn.ORCID 0000-0003-3046-9507
National Clinical Research Center for Digestive Diseases · CN

Funding

Key Research and Development Projects of Shaanxi Province 2021ZDLSF02-07Key Research and Development Projects of Shaanxi Province 2022ZDLSF03-03National Key Research and Development Program of China 2017YFA0105704National Key Research and Development Program of China 2020YFA0710803National Natural Science Foundation of China 81820108005National Natural Science Foundation of China 81900502National Natural Science Foundation of China 82200680National Natural Science Foundation of China 82270551
6 · The paper itself

Abstract

backgroundStem cell transplantation shows great potential to improve the long-term survival of cirrhosis patients. However, therapeutic effects may not be homogeneous across the whole study population. This study constructed an easy-to-use nomogram to improve prognostic prediction and aid in treatment decision making for cirrhotic patients.

methodsFrom August 2005 to April 2019, 315 patients with decompensated cirrhosis receiving autologous peripheral blood stem cell (PBSC) transplantation were enrolled in this study. They were randomly classified into training (2/3) and validation (1/3) groups. A predictive model was developed using Cox proportional hazard models and subsequently validated. The predictive performance of the model was evaluated and also compared with other prognostic models.

resultsAge, creatinine, neutrophil-to-lymphocyte ratio, and Child-Turcotte-Pugh class were included in the nomogram as prognostic variables. The nomogram showed high discrimination power concerning the area under receiver operating characteristic curves (3/5-year AUC: 0.742/0.698) and good consistency suggested by calibration plots. Patients could be accurately stratified into poor- and good-outcome groups regarding liver-transplantation free survival after receiving PBSC therapy (P < 0.001). Compared with poor-outcome group, the liver function of patients listed for liver transplantation in the good-outcome group was significantly improved (P < 0.001). Besides, our nomogram achieved a higher C-index (0.685, 95% CI 0.633-0.738) and better clinical utility compared with other conventional prognostic models.

conclusionsThe proposed nomogram facilitated an accurate prognostic prediction for patients with decompensated cirrhosis receiving PBSC transplantation. Moreover, it also held the promise to stratify patients in clinical trials or practice to implement optimal treatment regimens for individuals.

Indexed as

Peripheral Blood Stem CellsHumansLiver CirrhosisNomogramsPrognosisProportional Hazards ModelsLiver cirrhosisNomogramRisk stratificationStem cell therapy

Identifiers

PMID38167085
PMCPMC10763677
OpenAlexW4390512105

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.