Evidence map›Paper›PMID 37581089›Full record

ArticleQuantitative imaging in medicine and surgery2023

A retrospective cohort study on the significance of preoperative radiological evaluation of lumbar degenerative diseases for surgical reference.

Xiaowen Liu, Yang Hou, Hongyang Shi, Tianyi Zhao, Chenxi Sun, Jiangang Shi, Guodong Shi

Open access · diamondAbstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2023. 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
1.0field-weighted citation impact, top 23% 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

5 citing papers in PubMed, 4 citations in OpenAlex.

  1. Risk factors for poor functional outcomes at one year in biportal endoscopic spine surgery for lumbar spinal stenosis.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 · 2026
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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

7 authors at 1 institution in 1 country.

Xiaowen Liu *Department of Orthopaedic Surgery, Changzheng Hospital, Second Military Medical University, Shanghai, China.
Yang Hou *Department of Orthopaedic Surgery, Changzheng Hospital, Second Military Medical University, Shanghai, China.
Hongyang ShiDepartment of Orthopaedic Surgery, Changzheng Hospital, Second Military Medical University, Shanghai, China.
Tianyi ZhaoDepartment of Orthopaedic Surgery, Changzheng Hospital, Second Military Medical University, Shanghai, China.
Chenxi SunDepartment of Orthopaedic Surgery, Changzheng Hospital, Second Military Medical University, Shanghai, China.
Jiangang ShiDepartment of Orthopaedic Surgery, Changzheng Hospital, Second Military Medical University, Shanghai, China.
Guodong ShiDepartment of Orthopaedic Surgery, Changzheng Hospital, Second Military Medical University, Shanghai, China.
Second Military Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Radiography has low radiation exposure and the ability to acquire information. Due to its cost-effectiveness and availability, preoperative radiographic imaging examination is considered to be a valuable method to evaluate the condition of patients with spinal disease. The aim of this cohort study is to analyze the impact of evaluating preoperative X-rays on the surgical management of lumbar degenerative diseases (LDD). Methods: We reviewed 49 patients with LDD underwent single-level posterior instrumented lumbar fusion (PILF) between November 2017 and October 2022 in this cohort study. The median iliac angle (MIA), iliac crest height, intervertebral facet joint degeneration, lumbosacral angle (LSA), L5/S1 intervertebral space angle (ISA), intervertebral foramen height (IFH) and intervertebral space height (ISH) were measured on preoperative radiographs. In addition, operative time, intraoperative blood loss and postoperative complications were used to evaluate the surgical management. Correlation analysis was used to determine the correlation between preoperative radiographic presentation and surgical managements. Multivariate linear regression analysis was used for determination of risk factors for surgical management. Results: Correlation analysis showed that the median iliac angle, height of iliac crest, lumbosacral angle and intervertebral facet joint degeneration were significantly correlated with surgical managements (P<0.05). Height of iliac crest, intervertebral facet joint degeneration and lumbosacral angle were positively correlated with surgical management. Meanwhile, MIA was negatively correlated with surgical management. No significant difference was found between the IFH, ISA, ISH and surgical managements in posterior lumbar surgery (P>0.05). After multiple linear regression analysis, height of iliac crest, median iliac angle and intervertebral facet joint degeneration were independent influence factors for the single-level lumbar surgical managements. Conclusions: Some variables measured in radiograph shows that height of iliac crest, median iliac angle and intervertebral facet joint degeneration have a potential influence on surgical managements. The lumbosacral angle was positively associated with surgical management, but it was not statistically significant in multiple linear regression analysis (P>0.05). The above measurements in plain film can reflect the surgical procedure and have some guiding implications for the operation.

Indexed as

height of iliac crestintervertebral facet joint degenerationmedian iliac angleRadiographysurgical management

Identifiers

PMID37581089
PMCPMC10423347
OpenAlexW4385525615

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.