Evidence map›Paper›PMID 36918363›Full record

ArticleJournal of the American Geriatrics Society2023

Predictors of mobility status one year post hip fracture among community-dwelling older adults prior to fracture: A prospective cohort study.

Rashmita Bajracharya, Jack M Guralnik, Michelle D Shardell, Marc C Hochberg, Denise L Orwig, Jay S Magaziner

Abstract read
In one paragraph

Article in Journal of the American Geriatrics Society, 2023. 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
–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

1 citing paper in PubMed.

  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

6 authors.

Rashmita BajracharyaDepartment of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, Maryland, USA.ORCID 0000-0002-2663-1367
Jack M GuralnikDepartment of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, Maryland, USA.
Michelle D ShardellDepartment of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, Maryland, USA.
Marc C HochbergDepartment of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, Maryland, USA.
Denise L OrwigDepartment of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, Maryland, USA.
Jay S MagazinerDepartment of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, Maryland, USA.

Funding

University of Maryland Claude D. Pepper Older Americans Independence Center (UM-OAIC)P30AG028747 · NIA · UNIVERSITY OF MARYLAND BALTIMORE · PI Stephen L. Seliger · 2006 to 2026
$28.9M
Sequelae of Hip Fracture in Men: An Epidemiologic StudyR37AG009901 · NIA · UNIVERSITY OF MARYLAND BALTIMORE · PI MAGAZINER, JAY · 1992 to 2018
$11.3M
RESEARCH TRAINING IN THE EPIDEMIOLOGY OF AGINGT32AG000262 · NIA · UNIVERSITY OF MARYLAND BALTIMORE · PI ANN L GRUBER-BALDINI, DENISE L ORWIG · 1998 to 2026
$8.2M
Statistical methods for vitamin D targets for functional outcomes in older adultsR01AG048069 · NIA · UNIVERSITY OF MARYLAND BALTIMORE · PI SHARDELL, MICHELLE DENISE · 2015 to 2025
$4.3M
The Epidemiology of Bone Strength and Muscle Composition After Hip Fracture in MeR01AG029315 · NIA · UNIVERSITY OF MARYLAND BALTIMORE · PI MAGAZINER, JAY · 2007 to 2011
$4.1M
Methods to Test Biomarkers of Aging as Shared Determinants of Alzheimers Disease and Related Dementias and Physical DisabilityR01AG079854 · NIA · UNIVERSITY OF MARYLAND BALTIMORE · PI SHARDELL, MICHELLE DENISE · 2023 to 2025
$2.3M
Statistical Models and Mechanisms Linking Biomarkers of Aging to Cognitive-Physical Decline and DementiaRF1NS128360 · NINDS · UNIVERSITY OF MARYLAND BALTIMORE · PI SHARDELL, MICHELLE DENISE · 2022 to 2022
$2.2M
Methods to Test Lifestyle, Vaginal Microenvironment, and Genitourinary Symptoms across Menopause TransitionR56AG068673 · NIA · UNIVERSITY OF MARYLAND BALTIMORE · PI BROTMAN, REBECCA M., SHARDELL, MICHELLE DENISE · 2020 to 2020
$796k
Epidemiology of the Inverse Comorbidity of Dementia and Cancer: Statistical Methods and Biological MechanismsR03AG070178 · NIA · UNIVERSITY OF MARYLAND BALTIMORE · PI SHARDELL, MICHELLE DENISE · 2021 to 2021
$309k
NIA NIH HHS P30 AG028747NIA NIH HHS R01 AG029315NIA NIH HHS R01 AG048069NIA NIH HHS R01 AG079854NIA NIH HHS R03 AG070178NIA NIH HHS R37 AG009901NIA NIH HHS R56 AG068673NIA NIH HHS RF1 NS128360NIA NIH HHS T32 AG000262NINDS NIH HHS RF1 NS128360
6 · The paper itself

Abstract

backgroundOrthopedists and other clinicians assess recovery potential of hip fracture patients at 2 months post-fracture for care planning. It is unclear if examining physical performance (e.g., balance, gait speed, chair stand) during this follow-up visit can identify individuals at a risk of poor functional recovery, especially mobility, beyond available information from medical records and self-report.

methodsData came from 162 patients with hip fracture enrolled in the Baltimore Hip Studies-7th cohort. Predictors of mobility status (ability to walk 1 block at 12 months post-fracture) were the Short Physical Performance Battery (SPPB) comprising balance, walking and chair rise tasks at 2 months; baseline medical chart information (sex, age, American Society of Anesthesiologist physical status rating, type of fracture and surgery, and comorbidities); and self-reported information about the physical function (ability to walk 10 feet and 1 block at pre-fracture and at 2 months post-fracture). Prediction models of 12-month mobility status were built using two methods: (1) logistic regression with least absolute shrinkage and selection operator (LASSO) regularization, and (2) classification and regression trees (CART). Area under ROC curves (AUROC) assessed discrimination.

resultsThe participants had a median age of 82 years, and 49.3% (n = 80) were men. Two-month SPPB and gait speed were selected as predictors of 12-month mobility by both methods. Compared with an analytic model with medical chart and self-reported information, the model that additionally included physical performance measures had significantly better discrimination for 12-month mobility (AUROC 0.82 vs. 0.88, p = 0.004).

conclusionAssessing SPPB and gait speed at 2 months after a hip fracture in addition to information from medical records and self-report significantly improves prediction of 12-month mobility. This finding has important implications in providing tailored clinical care to patients at a greater risk of being functionally dependent who would not otherwise be identified using regularly measured clinical markers.

Indexed as

Hip FracturesIndependent LivingAgedAged, 80 and overFemaleHumansMaleProspective StudiesWalkingWalking Speedactivities of daily living limitationsCARTgait speedmobilitySPPB

Identifiers

PMID36918363
PMCPMC10440300

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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.