Evidence map›Paper›PMID 30635050›Full record

Trial reportStem cell research & therapy2019

Predictors of responders to mononuclear stem cell-based therapeutic angiogenesis for no-option critical limb ischemia.

Tianyue Pan, Hao Liu, Yuan Fang, Zheng Wei, Shiyang Gu, Gang Fang, Yifan Liu, Yang Luo, Daqiao Guo, Xin Xu and 9 more

Open access · goldAbstract readClinical Trial
In one paragraph

Trial report in Stem cell research & therapy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
4.6field-weighted citation impact, top 5% 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

15 citing papers in PubMed, 27 citations in OpenAlex.

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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

19 authors at 2 institutions in 1 country.

Tianyue PanDepartment of Vascular Surgery, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
Hao LiuDepartment of Vascular Surgery, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
Yuan FangDepartment of Vascular Surgery, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
Zheng WeiDepartment of Hematology, Zhongshan Hospital, Fudan University, Shanghai, China.
Shiyang GuDepartment of Hematology, Zhongshan Hospital, Fudan University, Shanghai, China.
Gang FangDepartment of Vascular Surgery, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
Yifan LiuDepartment of Vascular Surgery, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
Yang LuoDepartment of Vascular Surgery, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
Daqiao GuoDepartment of Vascular Surgery, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
Xin XuDepartment of Vascular Surgery, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
Bin ChenDepartment of Vascular Surgery, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
Junhao JiangDepartment of Vascular Surgery, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
Jue YangDepartment of Vascular Surgery, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
Zhenyu ShiDepartment of Vascular Surgery, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
Ting ZhuDepartment of Vascular Surgery, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
Yun ShiDepartment of Vascular Surgery, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
Peng LiuDepartment of Hematology, Zhongshan Hospital, Fudan University, Shanghai, China.
Zhihui DongDepartment of Vascular Surgery, Zhongshan Hospital, Fudan University, Shanghai, 200032, China. dzh926@126.com.
Weiguo FuDepartment of Vascular Surgery, Zhongshan Hospital, Fudan University, Shanghai, 200032, China. fu.weiguo@zs-hospital.sh.cn.
Zhongshan Hospital · CNFudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough the mononuclear cell (MNC) transplantation could theoretically induce therapeutic angiogenesis in the patients with no-option critical limb ischemia (NO-CLI), the clinical responses to this approach are inconsistent among different clinical trials. The purpose of this study was to identify the prognostic factors of responders and develop a predictive nomogram to guide patient selection.

methodsWe retrospectively reviewed a consecutive NO-CLI cohort who received peripheral blood-derived transplantation in our center. The patients who survived and achieved complete remission of CLI at 6 months post-transplantation were defined as responders. Logistic regression models were used to screen and identify the prognostic factors based on which predictive nomogram was developed. A receiver operating characteristic (ROC) curve and a calibration curve were drawn to determine the discrimination level and predictive accuracy.

resultsThe study ultimately enrolled 103 patients, including 58 responders and 45 non-responders. Based on the multivariate regression analysis, age ≥ 50 years (odds ratio [OR] 0.201, P = 0.004), blood fibrinogen > 4 g/L (OR 0.176, P = 0.003), arterial occlusion above the knee/elbow (OR 0.232, P = 0.010), the transcutaneous pressure of oxygen (TcPO

conclusionsAge, blood fibrinogen, arterial occlusion level, TcPO TRAIL REGISTRATION: ChiCTR, ChiCTR1800019401 . Registered 9 November 2018-Retrospectively registered.

Indexed as

Neovascularization, PhysiologicAdultAgedAmputation, SurgicalBlood Gas Monitoring, TranscutaneousExtremitiesFemaleHumansIschemiaLogistic ModelsMaleMiddle AgedPeripheral Blood Stem CellsPeripheral Blood Stem Cell TransplantationTreatment OutcomeCritical limb ischemiaMononuclear cell transplantationNomogramPredictive analysisTherapeutic angiogenesis

Identifiers

PMID30635050
PMCPMC6329149
OpenAlexW2917547062

What OpenQuestion holds

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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.