Evidence map›Paper›PMID 38279868›Full record

ArticleJournal of neurotrauma2024

Trajectories of Recovery Following Traumatic Brain Injury Among Older Medicare Beneficiaries.

Jennifer S Albrecht, Chixiang Chen, Jason R Falvey

Open access · greenAbstract read
In one paragraph

Article in Journal of neurotrauma, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.9field-weighted citation impact, top 11% 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

7 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Impact of traumatic brain injury on recovery over the year following hip fracture among older Medicare beneficiaries.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026
    Article
  6. Article
  7. Review
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 at 1 institution in 1 country.

Jennifer S AlbrechtDepartment of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, Maryland, USA.
Chixiang ChenDepartment of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, Maryland, USA.
Jason R FalveyDepartment of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, Maryland, USA.
University of Maryland, Baltimore · US

Funding

QAQC Johns Hopkins Institute for Clinical and Translational ResearchUL1TR003098 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2019 to 2023
$57.7M
University of Maryland Claude D. Pepper Older Americans Independence Center (UM-OAIC)P30AG028747 · NIA · UNIVERSITY OF MARYLAND BALTIMORE · PI ALICE S. RYAN · 2006 to 2026
$28.9M
Recovery among Older Adults Following Head InjuryR01AG076441 · NIA · UNIVERSITY OF MARYLAND BALTIMORE · PI Jennifer S. Albrecht · 2022 to 2026
$3.4M
The ENRICH Study: Engaging Community and Municipal Services to Promote High Quality Aging in Place After Hip FractureK76AG074926 · NIA · UNIVERSITY OF MARYLAND BALTIMORE · PI FALVEY, JASON RAYMOND · 2021 to 2025
$1.4M
NCATS NIH HHS UL1 TR003098NIA NIH HHS K76 AG074926NIA NIH HHS L30 AG057095NIA NIH HHS P30 AG028747NIA NIH HHS R01 AG076441
6 · The paper itself

Abstract

It is well-known that older adults have poorer recovery following traumatic brain injury (TBI) relative to younger adults with similar injury severity. However, most older adults do recover well from TBI. Identifying those at increased risk of poor recovery could inform appropriate management pathways, facilitate discussions about palliative care or unmet needs, and permit targeted intervention to optimize quality of life or recovery. We sought to explore heterogeneity in recovery from TBI among older adults as measured by home time per month, a patient-centered metric defined as time spent at home and not in a hospital, urgent care, or other facility. Using data obtained from Medicare administrative claims data for years 2010-2018, group-based trajectory modeling was employed to identify unique trajectories of recovery among a sample of United States adults age 65 and older who were hospitalized with TBI. We next determined which patient-level characteristics discriminated poor from favorable recovery using logistic regression. Among 20,350 beneficiaries, four unique trajectories were identified: poor recovery (

Indexed as

Brain Injuries, TraumaticMedicareRecovery of FunctionAgedAged, 80 and overFemaleHumansMaleUnited Statesdays at homegroup-based trajectory modelingMedicare administrative dataolder adultstraumatic brain injury

Identifiers

PMID38279868
PMCPMC11631801
OpenAlexW4391282631

What OpenQuestion holds

Textmetadata
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.