Evidence map›Paper›PMID 39310751›Full record

ArticleiScience2024

Prognostic nomogram for the patency of wrist autologous arteriovenous fistula in first year.

Yu Li, Jinming Yang, Yue Chen, Wenhao Cui, Jukun Wang, Chao Zhang, Linzhong Zhu, Chunjing Bian, Tao Luo

Abstract read
In one paragraph

Article in iScience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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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

9 authors.

Yu LiDepartment of General Surgery, Xuanwu Hospital, Capital Medical University, Beijing, China.
Jinming YangDepartment of Vascular Intervention, Aerospace Center Hospital, Beijing, China.
Yue ChenDepartment of General Surgery, Xuanwu Hospital, Capital Medical University, Beijing, China.
Wenhao CuiDepartment of General Surgery, Xuanwu Hospital, Capital Medical University, Beijing, China.
Jukun WangDepartment of General Surgery, Xuanwu Hospital, Capital Medical University, Beijing, China.
Chao ZhangDepartment of General Surgery, Xuanwu Hospital, Capital Medical University, Beijing, China.
Linzhong ZhuDepartment of General Surgery, Xuanwu Hospital, Capital Medical University, Beijing, China.
Chunjing BianDepartment of General Surgery, Xuanwu Hospital, Capital Medical University, Beijing, China.
Tao LuoDepartment of General Surgery, Xuanwu Hospital, Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autologous arteriovenous fistula (AVF) is preferred in hemodialysis patients. Maintaining its patency is a critical problem. This study aimed to create a nomogram model for predicting 1-year primary patency of AVF. Consequently, a total of 414 patients were retrospectively enrolled and randomly allocated to training and validation cohorts. Risk factors were identified by multivariable logistic regression and used to create a nomogram model. Performance of the model was evaluated by receiver operating characteristic (ROC) curve, Hosmer-Lemeshow test, and calibration curve. The results suggested that diameter of cephalic vein, low-density lipoprotein, glycosylated hemoglobin (%), and C-reactive protein were risk factors which could predict the patency of AVF. Area under ROC curves for training and validation cohorts were 0.771 and 0.794, respectively. Calibration ability was satisfactory in both cohorts. Therefore, present nomogram model could predict the 1-year primary patency of AVF.

Indexed as

BioinformaticsCardiovascular medicine

Identifiers

PMID39310751
PMCPMC11416551

What Socratic 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 Socratic graph.