Evidence map›Paper›PMID 30145838›Full record

ArticleTransfusion2018

Analysis of a large data set to identify predictors of blood transfusion in primary total hip and knee arthroplasty.

ZeYu Huang, Cheng Huang, JinWei Xie, Jun Ma, GuoRui Cao, Qiang Huang, Bin Shen, Virginia Byers Kraus, FuXing Pei

Abstract read
In one paragraph

Article in Transfusion, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 3 pooled it
3.3field-weighted citation impact, top 7% 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

33 citing papers in PubMed, 3 syntheses or guidelines pooled it, 59 citations in OpenAlex.

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  6. [Efficacy and safety of a loading high-dose tranexamic acid followed by postoperative five doses in total hip arthroplasty: A randomized controlled trial].Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery · 2019
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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

9 authors at 3 institutions in 2 countries.

ZeYu HuangDepartment of Orthopedic Surgery, West China Hospital, West China Medical School, Sichuan University.
Cheng HuangCollege of Cybersecurity, Chengdu, Sichuan Province, People's Republic of China.
JinWei XieDepartment of Orthopedic Surgery, West China Hospital, West China Medical School, Sichuan University.
Jun MaDepartment of Orthopedic Surgery, West China Hospital, West China Medical School, Sichuan University.
GuoRui CaoDepartment of Orthopedic Surgery, West China Hospital, West China Medical School, Sichuan University.
Qiang HuangDepartment of Orthopedic Surgery, West China Hospital, West China Medical School, Sichuan University.
Bin ShenDepartment of Orthopedic Surgery, West China Hospital, West China Medical School, Sichuan University.
Virginia Byers KrausDuke Molecular Physiology Institute, Durham, North Carolina.
FuXing PeiDepartment of Orthopedic Surgery, West China Hospital, West China Medical School, Sichuan University.ORCID 0000-0003-4111-6264
West China Medical Center of Sichuan University · CNDuke University · USScience and Technology Department of Sichuan Province · CN

Funding

Resource Core 3 - Metabolomics CoreP30AG028716 · NIA · DUKE UNIVERSITY · PI Virginia B Kraus · 2006 to 2026
$24.6M
NIA NIH HHS P30 AG028716
6 · The paper itself

Abstract

backgroundThe aim of this study was to identify the predictors of need for allogenic blood transfusion (ALBT) in primary lower limb total joint arthroplasty (TJA). STUDY DESIGN AND

methodsThis study utilized a large dataset of 15,187 patients undergoing primary unilateral TJA. Risk factors and demographic information were extracted from the electronic health record. A predictive model was developed by both a random forest (RF) algorithm and logistic regression (LR). The area under the receiver operating characteristic curve (AUC-ROC) was used to compare the accuracy of the two methods.

resultsThe rate of ALBT was 18.9% in total. Patient-related factors associated with higher risk of an ALBT included female sex, American Society of Anesthesiologists (ASA) II, ASA III, and ASA IV. Surgery-related risk factors for ALBT were operative time, drain use, and amount of intraoperative blood loss. Higher preoperative hemoglobin and tranexamic acid use were associated with decreased risk for ALBT. The RF model had a better predictive accuracy (area under the curve [AUC] 0.84) than the LR model (AUC, 0.77; p < 0.001).

conclusionThe risk factors identified in the current study can provide specific, personalized perioperative ALBT risk assessment for a patient considering lower limb TJA. Furthermore, the predictive accuracy of the RF algorithm was significantly higher than that of LR, making it a potential tool for future personalized preoperative prediction of risk for perioperative ALBT.

Indexed as

Blood TransfusionPredictive Value of TestsAgedAlgorithmsArthroplasty, Replacement, HipArthroplasty, Replacement, KneeElectronic Health RecordsFemaleHumansLogistic ModelsMaleMiddle AgedRisk AssessmentRisk Factors

Identifiers

PMID30145838
PMCPMC6131039
OpenAlexW2888481042

What OpenQuestion holds

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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.