Evidence map›Paper›PMID 29278886›Full record

ArticleCancer biomarkers : section A of Disease markers2018

Combination of preoperative D-dimer and mean platelet volume predicts postoperative deep venous thrombosis in breast cancer patients.

Li-Na Cui, Na Li, Shuang Fu, Xin Zhang, Xin Wang, Rui-Tao Wang

Abstract read
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Article in Cancer biomarkers : section A of Disease markers, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
0.6field-weighted citation impact, top 29% of its field
1 · What the graph read from it

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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.

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3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
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  4. Nomogram for predicting venous thromboembolism after spinal surgery.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2024
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4 · The record

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5 · Who and what money

Authors and funding

6 authors at 3 institutions in 1 country.

Li-Na CuiDepartment of Breast Surgery, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin 150081, Heilongjiang, China.
Na LiDepartment of Internal Medicine, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin 150081, Heilongjiang, China.
Shuang FuDepartment of Internal Medicine, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin 150081, Heilongjiang, China.
Xin ZhangDepartment of Internal Medicine, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin 150081, Heilongjiang, China.
Xin WangDepartment of Internal Medicine, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin 150081, Heilongjiang, China.
Rui-Tao WangDepartment of Internal Medicine, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin 150081, Heilongjiang, China.
Harbin Medical University · CNThird Affiliated Hospital of Harbin Medical University · CNHeilongjiang University of Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDeep venous thrombosis (DVT) is associated with severe morbidity and mortality in cancer. Mean platelet volume (MPV) is an indicator of activated platelets.

objectiveWe aimed to investigate whether the combination of D-dimer and MPV could have a better performance in predicting deep venous thrombosis (DVT) in patients with breast cancer. MEHTODS: In 342 consecutive breast cancer patients without preoperative DVT, we measured the preoperative D-dimer and MPV levels. Compression ultrasonography was performed in all breast cancer patients before surgery, as well as one month, three months, six months, and twelve months.

resultsDuring a median period of twelve months, 15 of the 234 patients (6.4%) developed DVT. MPV was reduced and D-dimer was increased in patients with DVT events compared to those without DVT. Multivariate Cox analysis revealed that both MPV and D-dimer were independent predictors for DVT events. The area under the ROC curve was 0.619 (95% CI: 0.553 to 0.681) when D-dimer was used alone, whereas it increased to 0.790 (95% CI 0.732 to 0.840, p< 0.001) with the addition of MPV.

conclusionsThe combination of preoperative D-Dimer and MPV improves the predictive power of postoperative DVT risk in breast cancer patients.

Indexed as

Mean Platelet VolumeAdultAgedArea Under CurveBiomarkersBreast NeoplasmsFemaleFibrin Fibrinogen Degradation ProductsHumansMiddle AgedMultivariate AnalysisPostoperative ComplicationsPredictive Value of TestsProportional Hazards ModelsROC CurveVenous ThrombosisBiomarkersFibrin Fibrinogen Degradation Productsfibrin fragment DBreast cancerD-dimermean platelet volumerisk prediction

Identifiers

PMID29278886
PMCPMC13078319
OpenAlexW2778636257

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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.