Evidence map›Paper›PMID 23688662›Full record

ArticleThe American journal of medicine2013

Temporal trends in hospitalization rates for older adults with chronic obstructive pulmonary disease.

Jacques Baillargeon, Yue Wang, Yong-Fang Kuo, Holly M Holmes, Gulshan Sharma

Abstract read
In one paragraph

Article in The American journal of medicine, 2013. 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
2.8field-weighted citation impact, top 9% 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, 22 citations in OpenAlex.

  1. Article
  2. Lung and kidney: a dangerous liaison? A population-based cohort study in COPD patients in Italy.International journal of chronic obstructive pulmonary disease · 2017
    Article
  3. Article
  4. Observational
  5. Article
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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

5 authors at 2 institutions in 1 country.

Jacques BaillargeonDepartment of Preventive Medicine and Community Health, University of Texas Medical Branch, Galveston, TX 77555, USA. jbaillar@utmb.edu
Yue Wang
Yong-Fang Kuo
Holly M Holmes
Gulshan Sharma
The University of Texas Medical Branch at Galveston · USThe University of Texas MD Anderson Cancer Center · US

Funding

UTMB OAIC Research Education Component (REC)P30AG024832 · NIA · UNIVERSITY OF TEXAS MEDICAL BR GALVESTON · PI JAMES S. GOODWIN, MD, MELISSA M. MORROW · 2005 to 2026
$26.7M
UTMB CLINICAL AND TRANSLATIONAL SCIENCE AWARD: NASA BED REST STUDIESUL1RR029876 · NCRR · UNIVERSITY OF TEXAS MED BR GALVESTON · PI BRASIER, ALLAN R. · 2009 to 2011
$17.7M
UTMB Clinical and Translational Science AwardUL1TR000071 · NCATS · UNIVERSITY OF TEXAS MED BR GALVESTON · PI BRASIER, ALLAN R. · 2012 to 2014
$14.4M
Care of the elder hospitalized patient: the role of the hospitalistsR01AG033134 · NIA · UNIVERSITY OF TEXAS MED BR GALVESTON · PI GOODWIN, MD, JAMES S. · 2009 to 2018
$2.2M
Assessing The Role of Nurse Practitioner in Primary Care of Older AdultsR01HS020642 · AHRQ · UNIVERSITY OF TEXAS MED BR GALVESTON · PI KUO, YONG-FANG · 2012 to 2019
$1.4M
Established Investigator Award in Cancer Prevention & ControlK05CA134923 · NCI · UNIVERSITY OF TEXAS MED BR GALVESTON · PI GOODWIN, MD, JAMES S. · 2008 to 2019
$1.0M
Medication Adherence Among Older Persons Enrolled in Medicare Part DK23AG038476 · NIA · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI HOLMES, HOLLY M. · 2011 to 2015
$653k
Continuity of care and end of the life ICU useK08AG031583 · NIA · UNIVERSITY OF TEXAS MED BR GALVESTON · PI SHARMA, GULSHAN · 2008 to 2012
$598k
AHRQ HHS R01 HS020642AHRQ HHS R01-HS020642NCATS NIH HHS UL1 TR000071NCATS NIH HHS UL1TR000071NCI NIH HHS K05 CA134923NCI NIH HHS K05-CA134923NCRR NIH HHS U54RR026141NCRR NIH HHS UL1 RR029876NIA NIH HHS 5P30AG024832NIA NIH HHS K08 AG031583NIA NIH HHS K08 AG31583NIA NIH HHS K23 AG038476NIA NIH HHS K23AG038476NIA NIH HHS P30 AG024832NIA NIH HHS R01 AG033134NIA NIH HHS R01-AG033134
6 · The paper itself

Abstract

backgroundOver the last 15 years, substantial advances have been made in the treatment of chronic obstructive pulmonary disease (COPD). Little information is available, however, on whether these treatments have resulted in reduced rates of hospitalization and acute exacerbations among COPD patients. This retrospective cohort study examined changes in hospitalization rates among Medicare beneficiaries with COPD from 1999 to 2008.

methodsWe analyzed data from 424,418 fee-for-service Medicare beneficiaries enrolled between 1999 and 2008 who were diagnosed with COPD. We examined temporal changes in the frequency of hospitalization and acute exacerbations among Medicare beneficiaries with COPD.

resultsOver the 10-year study period, the hospitalization rates for COPD patients--adjusted for age, sex, race, socioeconomic status, region, and number of comorbidities--decreased: from 131 to 107 per 100 person-years for all causes (P <.001); from 58 to 44 per 100 person-years for all respiratory causes (P <.001); and from 73 to 63 per 100 person-years for nonrespiratory causes (P <.001). There was no change in prevalence of COPD in the Medicare population over this time. Additionally, the percentage of COPD patients hospitalized with 2 or more acute exacerbations decreased from 5.5% to 4.3% over the 10-year study period (P <.001).

conclusionBetween 1999 and 2008, hospitalization rates decreased substantially among Medicare beneficiaries diagnosed with COPD.

Indexed as

AgedAged, 80 and overAnalysis of VarianceCohort StudiesDisease ProgressionFemaleHospitalizationHumansMaleMedicarePoisson DistributionPrevalencePulmonary Disease, Chronic ObstructiveRetrospective StudiesUnited States

Identifiers

PMID23688662
PMCPMC3837582
OpenAlexW2086189310

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.