Evidence map›Paper›PMID 29465590›Full record

ArticleMedicine2018

Relationship between bone turnover markers and the heel stiffness index measured by quantitative ultrasound in middle-aged and elderly Japanese men.

Takayuki Nishimura, Kazuhiko Arima, Yasuyo Abe, Mitsuo Kanagae, Satoshi Mizukami, Takuhiro Okabe, Yoshihito Tomita, Hisashi Goto, Itsuko Horiguchi, Kiyoshi Aoyagi

Open access · goldAbstract read
In one paragraph

Article in Medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 40% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

10 authors at 1 institution in 1 country.

Takayuki NishimuraDepartment of Public Health, Nagasaki University Graduate School of Biomedical Sciences, Sakamoto Department of Rehabilitation, Nishi-Isahaya Hospital, Kaizumachi Ken-Hoku Health Care Office, Tabiramachi Center for Public Relations Strategy, Nagasaki University, Bunkyoumachi, Nagasaki, Japan.
Kazuhiko Arima
Yasuyo Abe
Mitsuo Kanagae
Satoshi Mizukami
Takuhiro Okabe
Yoshihito Tomita
Hisashi Goto
Itsuko Horiguchi
Kiyoshi Aoyagi
Nagasaki University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of the present study was to investigate the age-related patterns and the relationships between serum levels of tartrate-resistant acid phosphatase-5b (TRACP-5b) or bone-specific alkaline phosphatase (BAP), and the heel stiffness index measured by quantitative ultrasound (QUS) in 429 Japanese men, with special emphasis on 2 age groups (40-59 years and 60 years or over). The heel stiffness index (bone mass) was measured by QUS. Serum samples were collected, and TRACP-5b and BAP levels were measured. The stiffness index was significantly decreased with age. Log (TRACP-5b) was significantly increased with age, but Log (BAP) was stable. Generalized linear models showed that higher levels of Log (TRACP-5b) and Log (BAP) were correlated with a lower stiffness index after adjusting for covariates in men aged 60 years or over, but not in men aged 40 to 59 years. In conclusion, higher rates of bone turnover markers were associated with a lower stiffness index only in elderly men. These results may indicate a different mechanism of low bone mass among different age groups of men.

Indexed as

Health Status IndicatorsAdultAgedAged, 80 and overAge FactorsAlkaline PhosphataseBiomarkersBone DensityBone RemodelingDiagnostic Tests, RoutineHeelHumansJapanLinear ModelsMaleMiddle AgedAlkaline PhosphataseBiomarkersTartrate-Resistant Acid Phosphatase

Identifiers

PMID29465590
PMCPMC5842002
OpenAlexW2791628104

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.