Evidence map›Paper›PMID 33430895›Full record

ArticleJournal of orthopaedic surgery and research2021

Establishment and assessment of a nomogram for predicting blood transfusion risk in posterior lumbar spinal fusion.

Haosheng Wang, Kai Wang, Bin Lv, Haotian Xu, Weibo Jiang, Jianwu Zhao, Mingyang Kang, Rongpeng Dong, Yang Qu

Open access · goldAbstract read
In one paragraph

Article in Journal of orthopaedic surgery and research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.1field-weighted citation impact, top 28% 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

10 citing papers in PubMed, 17 citations in OpenAlex.

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  6. The severity of preoperative anemia escalates risk of poor short-term outcomes after lumbar spine fusion.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 · 2023
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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 2 institutions in 1 country.

Haosheng WangDepartment of Orthopedics, The Second Hospital of Jilin University, 218 Ziqiang Street, Changchun, 130041, Jilin Province, People's Republic of China.
Kai WangDepartment of Orthopedics, The Second Hospital of Jilin University, 218 Ziqiang Street, Changchun, 130041, Jilin Province, People's Republic of China.
Bin LvDepartment of Orthopedics, The Affiliated People's Hospital of Jiangsu University, Zhenjiang, Jiangsu Province, People's Republic of China.
Haotian XuDepartment of Orthopedics, The Second Hospital of Jilin University, 218 Ziqiang Street, Changchun, 130041, Jilin Province, People's Republic of China.
Weibo JiangDepartment of Orthopedics, The Second Hospital of Jilin University, 218 Ziqiang Street, Changchun, 130041, Jilin Province, People's Republic of China.
Jianwu ZhaoDepartment of Orthopedics, The Second Hospital of Jilin University, 218 Ziqiang Street, Changchun, 130041, Jilin Province, People's Republic of China.
Mingyang KangDepartment of Orthopedics, The Second Hospital of Jilin University, 218 Ziqiang Street, Changchun, 130041, Jilin Province, People's Republic of China.
Rongpeng DongDepartment of Orthopedics, The Second Hospital of Jilin University, 218 Ziqiang Street, Changchun, 130041, Jilin Province, People's Republic of China.
Yang QuDepartment of Orthopedics, The Second Hospital of Jilin University, 218 Ziqiang Street, Changchun, 130041, Jilin Province, People's Republic of China. quy@jlu.edu.cn.
Second Affiliated Hospital of Jilin University · CNAffiliated Hospital of Jiangsu University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of this study was to determine the risk factors and develop a nomogram for blood transfusions after posterior lumbar spinal fusion (PSL).

methodsWe conducted a retrospective, single-center study based on 885 patients receiving PSL, and data was obtained from May 2015 to September 2019. Univariable and multivariable logistics regression analysis were conducted to identify risk factors for blood transfusion, and a nomogram was constructed to individually evaluate the risk of blood transfusion. Discrimination, calibration, and clinical usefulness were validated by the receiver operating characteristics (ROC), C-index, calibration plot, and decision curve analysis, respectively. Bootstrapping validation was performed to assess the performance of the model.

resultsOf 885 patients, 885 were enrolled in the final study population, and 289 received blood transfusion. Statistical analyses showed that low preoperative hemoglobin (Hb), longer time to surgery, operative time, levels of fusion > 1, longer surgery duration, and higher total intraoperative blood loss (IBL) were the risk factors for transfusion. The C-index was 0.898 (95% CI 0.847-0.949) in this dataset and 0.895 in bootstrapping validation, respectively. Calibration curve showed satisfied discrimination and calibration of the nomogram. Decision curve analysis (DCA) shown that the nomogram was clinical utility.

conclusionsIn summary, we investigated the relationship between the blood transfusion requirement and predictors: levels of fusion, operative time, time to surgery, total intraoperative EBL, and preoperative Hb level. Our nomogram with a robust performance in the assessment of risk of transfusion can contribute to clinicians in making clinical decision. However, external validation is still needed in the further.

Indexed as

Blood TransfusionNomogramsSpinal FusionBlood Loss, SurgicalClinical Decision-MakingData CollectionFemaleHemoglobinsHumansLumbar VertebraeMaleMiddle AgedOperative TimePreoperative PeriodRegression AnalysisRetrospective StudiesHemoglobinsBlood lossBlood transfusionLumbar fusionNomogramRisk factors

Identifiers

PMID33430895
PMCPMC7798229
OpenAlexW3119122716

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LicenceCC BY
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Registered trials

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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.