Evidence map›Paper›PMID 39838469›Full record

ArticleThrombosis journal2025

Association between inflammatory indices and preoperative deep vein thrombosis in patients undergoing total joint arthroplasty: a retrospective study.

Xiaojuan Xiong, Peng Hu, Ting Li, Shuang Yu, Qingxiang Mao

Abstract read
In one paragraph

Article in Thrombosis journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Xiaojuan Xiong *Department of Anesthesiology, Daping Hospital, Army Medical Center of PLA, Army Medical University, 10 ChangjiangZhilu, Yuzhong District, Chongqing, 400042, China.
Peng Hu *School of Public Policy and Administration, Chongqing University, 174 shazheng street, Shapingba District, Chongqing, 400044, China.
Ting LiDepartment of Anesthesiology, Daping Hospital, Army Medical Center of PLA, Army Medical University, 10 ChangjiangZhilu, Yuzhong District, Chongqing, 400042, China.
Shuang YuDepartment of Anesthesiology, Daping Hospital, Army Medical Center of PLA, Army Medical University, 10 ChangjiangZhilu, Yuzhong District, Chongqing, 400042, China.
Qingxiang MaoDepartment of Anesthesiology, Daping Hospital, Army Medical Center of PLA, Army Medical University, 10 ChangjiangZhilu, Yuzhong District, Chongqing, 400042, China. qxmao@tmmu.edu.cn.

Funding

Innovative leading talents CSTC2024YCJH-BGZXM0011
6 · The paper itself

Abstract

backgroundTo investigate the association between inflammatory indices-systemic immune-inflammation index (SII), monocyte-lymphocyte ratio (MLR), neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR) and preoperative deep vein thrombosis (DVT) in patients undergoing total joint arthroplasty (TJA).

methodsWe created the receiver operator characteristic (ROC) curve using the ratios of SII, MLR, NLR, PLR to DVT before TJA, divided the enrolled patients into groups based on the cut-off value, and then analyzed risk factors for DVT before TJA in the multivariate binary logistic regression analysis.

resultsA total of 2125 patients were enrolled and preoperative DVT occurred in 110 cases (5.18%). Based on the ROC curve, we determined that the cut-off values for SII, MLR, NLR, and PLR were 470*10

conclusionWe found that higher SII, MLR, NLR, and PLR levels, age, and corticosteroid use were independent risk factors for preoperative DVT in patients undergoing TJA. CLINICAL

trial registrationChiCTR2100054844; Registration Date: 2021.12.28.

Indexed as

Deep vein thrombosisMonocyte–lymphocyte ratioNeutrophil-lymphocyte ratioPlatelet-lymphocyte ratioSystemic immune-inflammation indexTotal joint arthroplasty

Identifiers

PMID39838469
PMCPMC11748560

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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.