Evidence map›Paper›PMID 39695594›Full record

ArticleBMC musculoskeletal disorders2024

Risk factors for hidden blood loss in unilateral biportal endoscopic lumbar interbody fusion : a single-center retrospective study.

Jian-Fang Jin, Hao-Ran Chen, Yu-Jian Peng, Jun Dai, Qian-Liang Wang, Jun Yan

Abstract read
In one paragraph

Article in BMC musculoskeletal disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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.

2 · The registry

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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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

6 authors.

Jian-Fang Jin *Department of Hospital Outpatient, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, 215004, China.
Hao-Ran Chen *Department of Orthopedic Surgery, The Second Affiliated Hospital of Soochow University, No.1055 Sanxiang Road, Gusu District, Suzhou, Jiangsu, 215004, China.
Yu-Jian PengDepartment of Orthopedic Surgery, The Second Affiliated Hospital of Soochow University, No.1055 Sanxiang Road, Gusu District, Suzhou, Jiangsu, 215004, China.
Jun DaiDepartment of Orthopedic Surgery, The Second Affiliated Hospital of Soochow University, No.1055 Sanxiang Road, Gusu District, Suzhou, Jiangsu, 215004, China.
Qian-Liang Wang *Department of Orthopedic Surgery, The Second Affiliated Hospital of Soochow University, No.1055 Sanxiang Road, Gusu District, Suzhou, Jiangsu, 215004, China.
Jun YanDepartment of Orthopedic Surgery, The Second Affiliated Hospital of Soochow University, No.1055 Sanxiang Road, Gusu District, Suzhou, Jiangsu, 215004, China. cxyanjun@hotmail.com.

Funding

National Natural Science Foundation of China 81902239National Natural Science Foundation of China 81971036National Natural Science Foundation of China 82002345
6 · The paper itself

Abstract

backgroundHidden blood loss (HBL) is often ignored unilateral biportal endoscopic interbody fusion surgery (ULIF). We investigated the amount and influencing factors of HBL in ULIF surgery in this study.

methodsFrom October 2020 to November 2023, 100 patients' clinical and radiological data were retrospectively analyzed. Pearson or Spearman correlation and multivariate linear regression were used to identify factors linked to HBL.

resultsThe mean hidden blood loss (HBL) was 255.84 ± 290.89 ml, making up 62.48% of total blood loss. Correlation analysis showed HBL positively related to ASA classification (P = 0.009), operation time (P = 0.004), number of operation levels (P = 0.046), and paraspinal muscle thickness (P = 0.043), but negatively related to tranexamic acid use (P = 0.001). A multivariate linear regression analysis showed that HBL was positively associated with ASA classification (P = 0.038) and operation time (P = 0.046), but negatively associated with tranexamic acid use (P = 0.001).

conclusionPatients undergoing ULIF surgery incurred a great deal of HBL. More importantly, ASA classification, operation time and tranexamic acid use were independent risk factors for HBL.

Indexed as

Blood Loss, SurgicalEndoscopyLumbar VertebraeSpinal FusionTranexamic AcidAdultAgedAntifibrinolytic AgentsFemaleHumansMaleMiddle AgedOperative TimeRetrospective StudiesRisk FactorsAntifibrinolytic AgentsTranexamic AcidHidden blood lossMultiple regression analysisRisk factorsUnilateral biportal endoscopic lumbar interbody fusion

Identifiers

PMID39695594
PMCPMC11657688

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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.