Evidence map›Paper›PMID 40783702›Full record

ArticleBMC surgery2025

Development and validation of a risk prediction model for venous thromboembolism after surgery in elderly patients with lung cancer.

Qing Lin, Shi Wang, Xiangmei Zhang, Jie Luo, Lijun Chen, Bingrui Xu, Shuqian Wang

Abstract readValidation Study
In one paragraph

Article in BMC surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 2 pooled it
–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

5 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Guideline
  2. Pooled it
  3. Article
  4. Article
  5. 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

7 authors.

Qing Lin *The First Department of Thoracic Surgery, Xiamen Cancer Center, The First Affiliated Hospital of Xiamen University, Xiamen, 361001, Fujian, China.
Shi Wang *Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Xiamen University,School of Medicine, Xiamen University, Xiamen, 361001, Fujian, China.
Xiangmei ZhangThe First Department of Thoracic Surgery, Xiamen Cancer Center, The First Affiliated Hospital of Xiamen University, Xiamen, 361001, Fujian, China.
Jie LuoThe First Department of Thoracic Surgery, Xiamen Cancer Center, The First Affiliated Hospital of Xiamen University, Xiamen, 361001, Fujian, China.
Lijun ChenThe First Department of Thoracic Surgery, Xiamen Cancer Center, The First Affiliated Hospital of Xiamen University, Xiamen, 361001, Fujian, China.
Bingrui XuThe Second Department of Cadre Healthcare Care, Xiamen Cancer Center, The First Affiliated Hospital of Xiamen University, No. 55 Zhenhai Road, Siming District, Xiamen, 361001, Fujian, China. dingheha550550@163.com.
Shuqian WangThe First Department of Thoracic Surgery, Xiamen Cancer Center, The First Affiliated Hospital of Xiamen University, No. 55 Zhenhai Road, Siming District, Xiamen, 361001, Fujian, China. zhongzhao908133@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo develop and validate a risk prediction model for postoperative venous thromboembolism (VTE) in elderly patients (≥ 60 years old) with lung cancer using internal and external datasets, providing a reference for clinical prevention and management.

methodsA retrospective analysis was conducted on 320 elderly lung cancer patients who underwent surgery at our hospital between January 2023 and May 2024. Patients were categorized into a VTE group (55 cases) and a non-VTE group (265 cases) based on the occurrence of VTE within six months postoperatively. An additional 60 elderly lung cancer patients who underwent surgery between June and November 2024 were selected for external validation. General clinical characteristics were compared between the two groups, and risk factors for postoperative VTE were analyzed to construct and validate the predictive model.

resultsThe incidence of postoperative VTE was 17.19% (55/320). Compared with the non-VTE group, the VTE group had a significantly higher proportion of patients with a history of smoking, alcohol consumption, hypertension, extremely high-risk Caprini scores, surgical duration ≥ 120 min, open surgery, clinical stage III-IV disease, preoperative chemotherapy, positive D-dimer (D-D) >3.64 mg/L, and elevated C-reactive protein (CRP) levels (P < 0.05). Multivariate analysis identified extremely high-risk Caprini scores, surgical duration ≥ 120 min, open surgery, clinical stage III-IV disease, preoperative chemotherapy, positive D-D>3.64 mg/L, and elevated CRP levels as independent risk factors for postoperative VTE (P < 0.05). Receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis (DCA) demonstrated that the model had excellent discrimination, accuracy, and predictive performance.

conclusionThe incidence of postoperative VTE in elderly lung cancer patients is relatively high. Key risk factors include an extremely high-risk Caprini score, surgical duration ≥ 120 min, open surgery, clinical stage III-IV disease, preoperative chemotherapy, positive D-D>3.64 mg/L, and elevated CRP levels. The nomogram-based risk prediction model developed in this study exhibits high discrimination and accuracy, with good predictive ability and clinical utility, providing a basis for targeted prevention and management strategies.

Indexed as

Lung NeoplasmsPostoperative ComplicationsVenous ThromboembolismAgedAged, 80 and overFemaleHumansIncidenceMaleMiddle AgedRetrospective StudiesRisk AssessmentRisk FactorsInfluencing factorsLung cancerModel validationNomogramOld ageRisk prediction modelVenous thromboembolism

Identifiers

PMID40783702
PMCPMC12335151

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.