Evidence map›Paper›PMID 33438343›Full record

ArticleOrthopaedic surgery2021

Prevalence of Lumbar Spondylolisthesis in Middle-Aged People in Beijing Community.

Da He, Zu-Chang Li, Tian-Yu Zhang, Xiao-Guang Cheng, Wei Tian

Open access · goldAbstract read
In one paragraph

Article in Orthopaedic surgery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 11% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Prevalence of lumbar spondylolisthesis in adults and elderly patients with low back pain in the Jordanian community: radiographic findings.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 · 2025
    Article
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  5. Age-related prevalence of radiographic lumbar spondylolisthesis and its associations with low back pain, walking speed, and muscle index: findings from the second survey of the ROAD study.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 · 2025
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  9. External validation of a convolutional neural network algorithm for opportunistically detecting vertebral fractures in routine CT scans.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2024
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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

5 authors at 1 institution in 1 country.

Da HeFourth Clinical Medical College of Peking University, Beijing Jishuitan Hospital, Beijing, China.
Zu-Chang LiFourth Clinical Medical College of Peking University, Beijing Jishuitan Hospital, Beijing, China.ORCID https://orcid.org/0000-0002-5114-5184
Tian-Yu ZhangFourth Clinical Medical College of Peking University, Beijing Jishuitan Hospital, Beijing, China.
Xiao-Guang ChengFourth Clinical Medical College of Peking University, Beijing Jishuitan Hospital, Beijing, China.
Wei Tian
Peking University · CN

Funding

Beijing JST Research Funding YGQ-201907
6 · The paper itself

Abstract

objectiveLumbar spondylolisthesis (LS) is a common lumbar disease, and the prevalence of LS in different countries or regions was not consistent in the past. This study intends to make statistics on the prevalence of lumbar spondylolisthesis in middle-aged people in Beijing community.

methodsThis is an epidemiological study. 4548 people in Beijing community aged 50 to 64 years were recruited from the local communities by advertisements placed in housing estates and community centres for people to take part in a prospective cohort study from August from September 2013 to March 2014. There is no intervention on the subjects. RadiAnt DICOM Viewer is adopted to read the lateral CT positioning images of all the studied objects, adjust the image as bone window, observe and evaluate the slide of L1 to L5 vertebra in the lateral CT positioning image.

resultsAmong the 4,548 subjects included in the study, 2,490 (54.75%) were male and 2,058 (45.25%) were female. A total of 785 subjects had lumbar spondylolisthesis, with a total incidence of 17.26%. There was no significant difference between prevalence of males and females in the subgroup 50-54 years old (13.55% males / 12.53% females) and 55-59 years old (14.77% males / 14.93% females). But the prevalence of LS in 60-64 years old females (28.57%) increased significantly, compared with 55-59 years old females (14.93%) and 60-64 years old males (18.76%). There were 847 levels that had slipped, L5S1 > L4/5 > L3/4 > L2/3 > L1/2. The retrolisthesis was the most, accounting for 61.51% (521/847), and the anterolisthesis was 38.49% (326/847), including anterolisthesis gradeI for 95.71% (312/326), anterolisthesis gradeII for 4.29% (14/326). Neither of anterolisthesis and retrolisthesis presented more than grade III. Among all the subjects, 318 had anterolisthesis, with a total incidence of 6.99%, and 467 subjects only had retrolisthesis.

conclusionThe total prevalence of LS in the middle-aged people in Beijing community was 17.26%, 15.98% in males and 18.80% in females, and women are more likely to suffer from LS after 60 years old.

Indexed as

BeijingFemaleHumansLumbar VertebraeMaleMiddle AgedPrevalenceSpondylolisthesisChineseLumbar spondylolisthesisMiddle-agedPrevalence

Identifiers

PMID33438343
PMCPMC7862163
OpenAlexW3120225759

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.