Evidence map›Paper›PMID 38312904›Full record

ArticleIndian journal of orthopaedics2024

A Nomogram Model to Predict Deep Vein Thrombosis Risk After Surgery in Patients with Hip Fractures.

Ruting Bo, Xiaoyu Chen, Xiuwei Zheng, Yang Yang, Bing Dai, Yu Yuan

Open access · hybridAbstract read
In one paragraph

Article in Indian journal of orthopaedics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
4.9field-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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Development and Empirical Study of a Lower Extremity Deep Vein Thrombosis Prevention Protocol for Patients Undergoing Gynecologic Laparoscopic Surgery.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
    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

6 authors at 2 institutions in 1 country.

Ruting BoDepartment of Ultrasound, Tianjin Hospital, Tianjin Hexi District Jiefangnan Road, Tianjin, 300211 China.ORCID 0000-0002-3798-8636
Xiaoyu ChenDepartment of Ultrasound, Tianjin Hospital, Tianjin Hexi District Jiefangnan Road, Tianjin, 300211 China.ORCID 0000-0002-0554-335X
Xiuwei ZhengClinical Medical College of Tianjin Medical University, Tianjin, 300276 China.ORCID 0009-0009-4078-865X
Yang YangDepartment of Hip Surgery, Tianjin Hospital, Tianjin, 300211 China.ORCID 0009-0005-5563-4128
Bing DaiDepartment of Vascular Surgery, Tianjin Hospital, Tianjin, 300211 China.ORCID 0009-0001-4578-4115
Yu YuanDepartment of Ultrasound, Tianjin Hospital, Tianjin Hexi District Jiefangnan Road, Tianjin, 300211 China.ORCID 0000-0002-4288-5172
Tianjin Hospital · CNTianjin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: This study aimed to establish a nomogram model for predicting the probability of postoperative deep vein thrombosis (DVT) risk in patients with hip fractures. Methods: 504 patients were randomly assigned to the training set and validation set, and then divided into a DVT group and a non-DVT group. The study analysed the risk factors for DVT using univariate and multivariate analyses. Based on these parameters, a nomogram model was constructed and validated. The predicting performance of nomogram was evaluated by discrimination, calibration, and clinical usefulness. Results: The predictors contained in the nomogram model included age, surgical approach, 1-day postoperative Conclusions: The current predictive model could serve as a reliable tool to quantify the possibility of postoperative DVT in hip fractures patients.

Indexed as

Deep vein thrombosisHip fractureNomogram modelRisk factors

Identifiers

PMID38312904
PMCPMC10830990
OpenAlexW4390616044

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.