Evidence map›Paper›PMID 29850126›Full record

ArticleJournal of thoracic disease2018

The significance of perioperative coagulation and fibrinolysis related parameters after lung surgery for predicting venous thromboembolism: a prospective, single center study.

Bo Tian, Chunfeng Song, Hui Li, Wenqian Zhang, Qirui Chen, Shuo Chen, Yili Fu, Xiaoxing Hu, Bin You, Tong Li and 2 more

Erratum issuedOpen access · hybridAbstract read
In one paragraph

Article in Journal of thoracic disease, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
2.9field-weighted citation impact, top 8% 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

24 citing papers in PubMed, 34 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Observational
  11. Article
  12. Article
  13. Observational
  14. Observational
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Observational
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 2 institutions in 1 country.

Bo TianDepartment of Thoracic Surgery, Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China.
Chunfeng SongDepartment of Thoracic Surgery, Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China.
Hui LiDepartment of Thoracic Surgery, Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China.
Wenqian ZhangDepartment of Thoracic Surgery, Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China.
Qirui ChenDepartment of Thoracic Surgery, Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China.
Shuo ChenDepartment of Thoracic Surgery, Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China.
Yili FuDepartment of Thoracic Surgery, Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China.
Xiaoxing HuDepartment of Thoracic Surgery, Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China.
Bin YouDepartment of Thoracic Surgery, Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China.
Tong LiDepartment of Thoracic Surgery, Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China.
Bin HuDepartment of Thoracic Surgery, Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China.
Shengcai HouDepartment of Thoracic Surgery, Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China.
Beijing Chao-Yang Hospital · CNCapital Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe high incidence of venous thromboembolism (VTE) has been perceived in post thoracic surgery patients. However, the significance of perioperative coagulation and fibrinolysis related parameters after lung surgery for VTE predicting is not clear. To investigate that, we conducted a prospective single center study.

methodsA total of 111 patients undergoing lung surgery were enrolled in this study, included 52 primary lung cancer patients and 59 benign lung disease patients from July 2016 to March 2017. Preoperative and postoperative days 1, 3, and 5 coagulation and fibrinolysis related parameters were tested, including antithrombin (AT), fibrinogen degradation product (FDP), prothrombin time (PT), prothrombin time activity (PA), prothrombin time ratio (PR), international normalized ratio (INR), activated partial thromboplastin time (APTT), plasma fibrinogen (FBG), thrombin time (TT) and D-Dimer. The Doppler ultrasonography was performed before and after surgery for deep venous thrombosis (DVT) confirmation. Patients with new postoperative DVT, unexplained dyspnea, hemoptysis, chest pain, or high Caprini score (≥9) were received further computer tomography pulmonary angiography (CTPA) for pulmonary embolism (PE). We used the area under receiver-operating-characteristic (ROC) curve to discriminate patients between those who developed VTE and those who did not. Single factor analysis was utilized to define risk factors associated with VTE.

resultsThe overall incidence of VTE was 16.2% (18/111). The incidence of VTE in primary lung cancer patients was 23.1% (12/52), much higher than that in benign lung diseases 10.2% (6/59), but did not reach statistical significance (P=0.066). Among 18 VTE patients, 83.3% was DVT, 16.7% was DVT + PE and 72.2% was muscular veins of the calf thrombosis. D-Dimer was much higher in VTE group than that in non-VTE group preoperatively and at postoperative days 1, 3 (0.64±0.24

conclusionsThe overall incidence of VTE after lung surgery was 16.2%. The patients with preoperative high D-Dimer should receive VTE prophylaxis.

Indexed as

coagulationLung surgeryvenous thromboembolism (VTE)

Identifiers

PMID29850126
PMCPMC5949486
OpenAlexW2798157159

What OpenQuestion holds

Textmetadata
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.