Evidence map›Paper›PMID 31891714›Full record

ArticleArchives of physical medicine and rehabilitation2020

Using Inferred Mobility Status to Estimate the Time to Major Depressive Disorder Diagnosis Post-Spinal Cord Injury.

Catherine J VanDerwerker, Chris M Gregory, Kit N Simpson

Open access · greenAbstract read
In one paragraph

Article in Archives of physical medicine and rehabilitation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.5field-weighted citation impact, top 33% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. How do the influencing factors of health-related quality of life of the injured patient differ according to activity limitations?Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2021
    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

3 authors at 2 institutions in 1 country.

Catherine J VanDerwerkerDepartment of Health Sciences and Research, Medical University of South Carolina, Charleston, South Carolina. Electronic address: vanderwe@musc.edu.
Chris M GregoryDepartment of Health Sciences and Research, Medical University of South Carolina, Charleston, South Carolina; Ralph H. Johnson Veterans Affairs Medical Center, Charleston, South Carolina.
Kit N SimpsonDepartment of Healthcare Leadership and Management, Medical University of South Carolina, Charleston, South Carolina.
Medical University of South Carolina · USRalph H. Johnson VA Medical Center · US

Funding

South Carolina Clinical & Translational Research Institute (SCTR)UL1TR001450 · NCATS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI BRADY, KATHLEEN T., FLUME, PATRICK A · 2015 to 2024
$41.1M
Treating Depression and Enhancing Locomotor Recovery Post-strokeP20GM109040 · NIGMS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI KAUTZ, STEVEN A. · 2014 to 2024
$23.5M
Muscle power training to improve depression and walking post-strokeR01HD095137 · NICHD · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI GREGORY, CHRIS · 2018 to 2022
$2.1M
NCATS NIH HHS UL1 TR001450NICHD NIH HHS R01 HD095137NIGMS NIH HHS P20 GM109040
6 · The paper itself

Abstract

objectiveEstimate (1) prevalence of major depressive disorder (MDD) diagnosis; (2) risk factors associated with MDD diagnosis; (3) time at which MDD is diagnosed post-spinal cord injury (SCI); and (4) interaction of inferred mobility status (IMS) in a commercially insured population over 3 years.

designRetrospective longitudinal cohort design.

settingA commercial insurance claims database from January 1, 2010 to December 31, 2013.

participantsIndividuals with an index cervical or thoracic SCI in 2011 or 2012, without history of MDD ≤30 days pre-SCI (N=1409).

interventionNot applicable.

main outcome measuresPrevalence of, risk factors associated with, and time to MDD diagnosis post-SCI. A stratified survival analysis using IMS, based upon durable medical equipment (DME) claims, was also completed.

resultsPost-SCI, 294 out of 1409 (20.87%) were diagnosed with new-onset MDD. Significant (P<.05) risk factors included: employment, length of index hospitalization, discharge from index hospitalization with healthcare services, rehabilitation services post-SCI, and 2 of 5 IMS comparisons. Median time to MDD was 86 days. Survival analysis demonstrated a significant difference between 6 of 10 IMS comparisons. Regarding new-onset or recurring MDD, 432 out of 1409 (30.66%) were diagnosed post-SCI. Significant risk factors included: female, employment, length of index hospitalization, discharge from index hospitalization with healthcare services, rehabilitation services post-SCI, MDD>30 days pre-SCI, catheter claims, and 2 of 5 IMS comparisons. Median time to MDD was 74 days. Survival analysis demonstrated a significant difference between 4 of 10 IMS comparisons.

conclusionsPrevalence of MDD post-SCI is greater than the general population. Stratification by IMS illustrated that individuals with greater inferred reliance on DME are at a greater risk for MDD and have shorter time to MDD diagnosis post-SCI.

Indexed as

AdolescentAdultCohort StudiesEmploymentFemaleHome Care Services, Hospital-BasedHumansLength of StayLongitudinal StudiesMajor Depressive DisorderMaleMiddle AgedPersons with DisabilitiesPrevalenceRehabilitation CentersRetrospective StudiesCluster analysisDepressionDurable medical equipmentRehabilitationSpinal cord injuriesSurvival analysis

Identifiers

PMID31891714
PMCPMC7441847
OpenAlexW2998241019

What OpenQuestion holds

Textmetadata
LicenceTDM
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.