Evidence map›Paper›PMID 19032794›Full record

ArticleBMC musculoskeletal disorders2008

Use of anthropometric indicators in screening for undiagnosed vertebral fractures: a cross-sectional analysis of the Fukui Osteoporosis Cohort (FOC) study.

Kiyoko Abe, Junko Tamaki, Eiko Kadowaki, Yuho Sato, Akemi Morita, Misa Komatsu, Sayaka Takeuchi, Etsuko Kajita, Masayuki Iki, Fukui Osteoporosis Cohort

Abstract read
In one paragraph

Article in BMC musculoskeletal disorders, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Spinal radiographs in those with back pain-when are they appropriate to diagnose vertebral fractures?Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2017
    Review
  5. Radiation-free spinometry adds to the predictive power of historical height loss in clinical vertebral fracture assessment.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2014
    Article
  6. Accuracy of spinal curvature assessed by a computer-assisted device and anthropometric indicators in discriminating vertebral fractures among individuals with back pain.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2014
    Article
4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Kiyoko AbeDepartment of Public Health, Kinki University School of Medicine, Osaka-sayama, Japan. gac-abe@sage.ocn.ne.jp
Junko Tamaki
Eiko Kadowaki
Yuho Sato
Akemi Morita
Misa Komatsu
Sayaka Takeuchi
Etsuko Kajita
Masayuki Iki
Fukui Osteoporosis Cohort

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVertebral fractures are the most common type of osteoporotic fracture. Although often asymptomatic, each vertebral fracture increases the risk of additional fractures. Development of a safe and simple screening method is necessary to identify individuals with asymptomatic vertebral fractures.

methodsLateral imaging of the spine by single energy X-ray absorptiometry and vertebral morphometry were conducted in 116 Japanese women (mean age: 69.9 +/- 9.3 yr). Vertebral deformities were diagnosed by the McCloskey-Kanis criteria and were used as a proxy for vertebral fractures. We evaluated whether anthropometric parameters including arm span-height difference (AHD), wall-occiput distance (WOD), and rib-pelvis distance (RPD) were related to vertebral deformities. Positive findings were defined for AHD as > or = 4.0 cm, for WOD as > or = 5 mm, and for RPD as < or = two fingerbreadths. Receiver operating characteristics curves analysis was performed, and cut-off values were determined to give maximum difference between sensitivity and false-positive rate. Expected probabilities for vertebral deformities were calculated using logistic regression analysis.

resultsThe mean AHD for those participants with and without vertebral deformities were 7.0 +/- 4.1 cm and 4.2 +/- 4.2 cm (p < 0.01), respectively. Sensitivity and specificity for use of AHD-positive, WOD-positive and RPD-positive values in predicting vertebral deformities were 0.85 (95% CI: 0.69, 1.01) and 0.52 (95% CI: 0.42, 0.62); 0.70 (95% CI: 0.50, 0.90) and 0.67 (95% CI: 0.57, 0.76); and 0.67 (95% CI: 0.47, 0.87) and 0.59 (95% CI: 0.50, 0.69), respectively. The sensitivity, specificity, and likelihood ratio for a positive result (LR) for use of combined AHD-positive and WOD-positive values were 0.65 (95% CI: 0.44, 0.86), 0.81 (95% CI: 0.73, 0.89), and 3.47 (95% CI: 3.01, 3.99), respectively. The expected probability of vertebral deformities (P) was obtained by the equation; P = 1-(exp [-1.327-0.040 x body weight +1.332 x WOD-positive + 1.623 x AHD-positive])-1. The sensitivity, specificity and LR for use of a 0.306 cut-off value for probability of vertebral fractures were 0.65 (95% CI: 0.44, 0.86), 0.87 (95% CI: 0.80, 0.93), and 4.82 (95% CI: 4.00, 5.77), respectively.

conclusionBoth WOD and AHD effectively predicted vertebral deformities. This screening method could be used in a strategy to prevent additional vertebral fractures, even when X-ray technology is not available.

Indexed as

Absorptiometry, PhotonAdultAgedAnthropometryBiomarkersCohort StudiesCross-Sectional StudiesFemaleHumansImage Processing, Computer-AssistedMass ScreeningMiddle AgedOsteoporosis, PostmenopausalPredictive Value of TestsSpinal CurvaturesSpinal FracturesBiomarkers

Identifiers

PMID19032794
PMCPMC2613887

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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.