Evidence map›Paper›PMID 23744885›Full record

ArticleJournal of the American Society of Nephrology : JASN2013

Temporal trends in fracture rates and postdischarge outcomes among hemodialysis patients.

Anne C Beaubrun, Ryan D Kilpatrick, Janet K Freburger, Brian D Bradbury, Lily Wang, M Alan Brookhart

Abstract read
In one paragraph

Article in Journal of the American Society of Nephrology : JASN, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 1 pooled it
8.7field-weighted citation impact, top 2% 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

52 citing papers in PubMed, 1 synthesis or guideline pooled it, 117 citations in OpenAlex.

  1. Pooled it
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  15. Article
  16. The Role of DMP1 in CKD-MBD.Current osteoporosis reports · 2021
    Review
  17. Bone Fragility Fractures in CKD Patients.Calcified tissue international · 2021
    Review
  18. Fractures and their sequelae in non-dialysis-dependent chronic kidney disease: the Stockholm CREAtinine Measurement project.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2020
    Observational
  19. Article
  20. Transcriptomics: a Solution for Renal Osteodystrophy?Current osteoporosis reports · 2020
    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

6 authors at 5 institutions in 2 countries.

Anne C BeaubrunDivision of Pharmaceutical Outcomes and Policy, Eshelman School of Pharmacy, University of North Carolina Chapel Hill, USA.
Ryan D Kilpatrick
Janet K Freburger
Brian D Bradbury
Lily Wang
M Alan Brookhart
Cecil College · USAmgen (United States) · USHealth Economics and Outcomes Research (United Kingdom) · GBUniversity of California, Los Angeles · USUniversity of North Carolina at Chapel Hill · US

Funding

UNC-CH TRAINING PROGRAM IN HEALTH SERVICES RESEARCHT32HS000032 · AHRQ · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HOLMES, GEORGE M · 1989 to 2024
$8.2M
AHRQ HHS T32 HS000032AHRQ HHS T32-HS000032
6 · The paper itself

Abstract

Patients with ESRD have a substantially increased risk of bone fractures, but the burden of fractures has not been sufficiently characterized in this population. Here, we analyzed fracture rates and postdischarge outcomes using Medicare data from hemodialysis patients in the United States between 2000 and 2009. We assessed adjusted quarterly fracture rates (inpatient and outpatient) and consequences of postfracture hospitalization for seven categories of fracture location. Pelvis/hip, vertebral, and lower leg fractures were the most prevalent fracture types. Pelvis/hip fractures declined slightly from 29.6 to 20.6 per 1000 patient-years between early 2000 and late 2009, but the incidence rates for all other fracture types remained relatively constant. Median lengths of stay for the primary fracture hospitalization ranged from 5 days (interquartile range [IQR], 3-9 days) for forearm/wrist fractures to 8 days (IQR, 5-12 days) for femur fractures. The proportion of patients discharged from the primary hospitalization to a skilled-nursing facility ranged from 28% (ribs/sternum) to 47% (pelvis/hip). A negative binomial regression model suggested that patients had an adjusted mean of 3.8-5.2 additional hospitalizations during the year after discharge from the index hospitalization, varying by fracture type, comprising a mean of 33-52 inpatient days. Case-mix-adjusted mortality rates after discharge ranged from 0.43 to 0.91 per patient-year and were highest for vertebral, pelvis/hip, and femur fractures. In conclusion, fractures in the dialysis population are common and are associated with a substantially increased risk for death and hospitalization.

Indexed as

Patient DischargeRenal DialysisAdolescentAdultAgedAged, 80 and overFemaleFractures, BoneHip FracturesHumansIncidenceKidney Failure, ChronicLength of StayMaleMedicareMiddle Aged

Identifiers

PMID23744885
PMCPMC3752946
OpenAlexW2156680407

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.