Evidence map›Paper›PMID 38097982›Full record

ArticleWorld journal of surgical oncology2023

Surgical outcomes and risk factors for surgical complications after en bloc resection following reconstruction with 3D-printed artificial vertebral body for thoracolumbar tumors.

Jinxin Hu, Guohui Song, Hongmin Chen, Huaiyuan Xu, Anqi Wang, Xiangqin Wang, Bingbing Hou, Jinchang Lu, Qinglian Tang, Jin Wang and 1 more

Open access · goldAbstract read
In one paragraph

Article in World journal of surgical oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
4.4field-weighted citation impact, top 5% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

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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

11 authors at 2 institutions in 1 country.

Jinxin Hu *Department of Musculoskeletal Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, People's Republic of China.
Guohui Song *Department of Musculoskeletal Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, People's Republic of China.
Hongmin Chen *Department of Musculoskeletal Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, People's Republic of China.
Huaiyuan XuDepartment of Musculoskeletal Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, People's Republic of China.
Anqi WangDepartment of Musculoskeletal Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, People's Republic of China.
Xiangqin WangDepartment of Musculoskeletal Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, People's Republic of China.
Bingbing HouDepartment of Musculoskeletal Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, People's Republic of China.
Jinchang LuDepartment of Musculoskeletal Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, People's Republic of China.
Qinglian TangDepartment of Musculoskeletal Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, People's Republic of China.
Jin WangDepartment of Musculoskeletal Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, People's Republic of China. wangjinbs@sysucc.org.cn.
Xiaojun ZhuDepartment of Musculoskeletal Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, People's Republic of China. zhuxj@sysucc.org.cn.
Sun Yat-sen University Cancer Center · CNSun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe outcomes of patients with tumors of the thoracolumbar spine treated with en bloc resection (EBR) using three-dimensional (3D)-printed endoprostheses are underreported.

methodsWe retrospectively evaluated patients with thoracolumbar tumors who underwent surgery at our institution. Logistic regression analysis was performed to identify the potential risk factors for surgical complications. Nomograms to predict complications were constructed and validated.

resultsA total of 53 patients with spinal tumors underwent EBR at our hospital; of these, 2 were lost to follow-up, 45 underwent total en bloc spondylectomy, and 6 were treated with sagittal en bloc spondylectomy. The anterior reconstruction materials included a customized 3D-printed artificial vertebral body (AVB) in 10 cases and an off-the-shelf 3D-printed AVB in 41 cases, and prosthesis mismatch occurred in 2 patients reconstructed with the off-the-shelf 3D-printed AVB. The median follow-up period was 21 months (range, 7-57 months). Three patients experienced local recurrence, and 5 patients died at the final follow-up. A total of 50 perioperative complications were encountered in 29 patients, including 25 major and 25 minor complications. Instrumentation failure occurred in 1 patient, and no prosthesis subsidence was observed. Using a combined surgical approach was a dependent predictor of overall complications, while Karnofsky performance status score, lumbar spine lesion, and intraoperative blood loss ≥ 2000 mL were predictors of major complications. Nomograms for the overall and major complications were constructed using these factors, with C-indices of 0.850 and 0.891, respectively.

conclusionsEBR is essential for the management of thoracolumbar tumors; however, EBR has a steep learning curve and a high complication rate. A 3D-printed AVB is an effective and feasible reconstruction option for patients treated with EBR.

Indexed as

Spinal NeoplasmsVertebral BodyHumansPrinting, Three-DimensionalRetrospective StudiesTreatment Outcome3D-printed artificial vertebral bodyComplicationEn bloc resectionSpinal tumorThoracolumbar spine

Identifiers

PMID38097982
PMCPMC10720146
OpenAlexW4389741653

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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.