Evidence map›Paper›PMID 20011039›Full record

ArticlePloS one2009

Bone T-scores and functional status: a cross-sectional study on German elderly.

Shoma Berkemeyer, Jochen Schumacher, Ulrich Thiem, Ludger Pientka

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

3 citing papers in PubMed, 13 citations in OpenAlex.

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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

4 authors at 2 institutions in 1 country.

Shoma BerkemeyerDepartment of Geriatrics, University of Bochum, Marienhospital Herne, Herne, Germany. shoma.berkemeyer@ruhr-uni-bochum.de
Jochen Schumacher
Ulrich Thiem
Ludger Pientka
Universitätsklinik Marien Hospital Herne · DEUniversity of Duisburg-Essen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe explore the association between bone T-scores, used in osteoporosis diagnosis, and functional status since we hypothesized that bone health can impact elderly functional status and indirectly independence.

methodsIn a cross-sectional study (2005-2006) on community dwelling elderly (> = 75 years) from Herne, Germany we measured bone T-scores with Dual-energy X-ray Absorptiometry, and functional status indexed by five geriatric tests: activities of daily living, instrumental activities of daily living, test of dementia, geriatric depression score and the timed-up-and-go test, and two pooled indexes: raw and standardized. Generalized linear regression was used to determine the relationship between T-scores and functional status.

resultsFrom 3243 addresses, only 632 (19%) completed a clinical visit, of which only 440 (male:female, 243:197) could be included in analysis. T-scores (-0.99, 95% confidence interval [CI], -1.1-0.9) predicted activities of daily living (95.3 CI, 94.5-96.2), instrumental activities of daily living (7.3 CI, 94.5-96.2), and timed-up-and-go test (10.7 CI, 10.0-11.3) (P < = 0.05). Pooled data showed that a unit improvement in T-score improved standardized pooled functional status (15 CI, 14.7-15.3) by 0.41 and the raw (99.4 CI, 97.8-101.0) by 2.27 units. These results were limited due to pooling of different scoring directions, selection bias, and a need to follow-up with evidence testing.

conclusionsT-scores associated with lower functional status in community-dwelling elderly. Regular screening of osteoporosis as a preventive strategy might help maintain life quality with aging.

Indexed as

AgedAge DistributionBone and BonesCross-Sectional StudiesFemaleGermanyHumansMale

Identifiers

PMID20011039
PMCPMC2784940
OpenAlexW2023496505

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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.