Evidence map›Paper›PMID 33437009›Full record

ArticleScientific reports2021

Lumbar lordosis morphology correlates to pelvic incidence and erector spinae muscularity.

Yang Li, Jianmin Sun, Guodong Wang

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
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. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Lumbar Lordosis Distribution in Asymptomatic Adult Volunteers: A Systematic Review.HSS journal : the musculoskeletal journal of Hospital for Special Surgery · 2023
    Review
  11. Article
  12. Article
  13. Article
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

3 authors.

Yang LiShandong Provincial Hospital Affiliated to Shandong First Medical University, 9677 Jingshi Road, Jinan, Shandong Province, China.
Jianmin SunShandong Provincial Hospital Affiliated to Shandong First Medical University, 9677 Jingshi Road, Jinan, Shandong Province, China.
Guodong WangShandong Provincial Hospital Affiliated to Shandong First Medical University, 9677 Jingshi Road, Jinan, Shandong Province, China. wanggd1986@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The retrospective study aimed to investigate the relationship between lumbar lordosis morphology, pelvic incidence and paraspinal muscle. It enrolled asymptomatic adult volunteers aged between 18 and 45 years old. Lumbar lordosis morphology, consisting of total lumbar lordosis (LL), proximal lumbar lordosis (PLL), distal lumbar lordosis (DLL), lumbar lordosis apex (LLA) and inflexion point, was evaluated, as well as pelvic incidence (PI) and muscularity of erector spinae (ES) and multifidus. Pearson correlation was performed to analyze the relationship between each other parameter. Cases were stratified according to pelvic incidence (very low < 30°, low 30°-45°, moderate 45°-60°, and high > 60°), comparison between groups was performed by univariance analysis. 87 asymptomatic adult volunteers (33 females and 54 males) were included in the study. PLL revealed a correlation with LLA (r = 0.603, p = 0.002) and inflexion point (r = 0.536, p = 0.004), but did not DLL with LL apex (r = 0.204, p = 0.058) or inflexion point (r = 0.210, p = 0.051). PI revealed a greater correlation with PLL (r = -0.673, p < 0.001) than with DLL (r = -0.237, p = 0.045). Linear stepwise regression analysis also exhibited the correlation between PI and PLL (R

Indexed as

AdolescentAdultFemaleHumansIncidenceLordosisLumbar VertebraeMaleMiddle AgedParaspinal MusclesPelvisRadiographyRetrospective StudiesYoung Adult

Identifiers

PMID33437009
PMCPMC7804424

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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.