Evidence map›Paper›PMID 24278092›Full record

ArticleCanadian geriatrics journal : CGJ2013

The Value of Admission Clinical Data for Diagnosing Heart Failure in Long-term Care.

George A Heckman, Andrea D Foebel, Joel A Dubin, Jennifer Ng, Irene D Turpie, Patricia Hussack, Robert S McKelvie

Open access · diamondAbstract read
In one paragraph

Article in Canadian geriatrics journal : CGJ, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.2field-weighted citation impact, top 15% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Trial
  2. 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

7 authors at 3 institutions in 1 country.

George A HeckmanResearch Institute for Aging and School of Public Health and Health Systems, University of Waterloo, Kitchener, ON;
Andrea D Foebel
Joel A Dubin
Jennifer Ng
Irene D Turpie
Patricia Hussack
Robert S McKelvie
McMaster University · CAUniversity of Waterloo · CAResearch Institute for Aging · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHeart failure (HF) is common in long-term care (LTC). Diagnostic uncertainty is important barrier to optimal HF management, stemming from inadequate health information transfer upon LTC admission. We determine the utility of admission clinical information to confirm a HF diagnosis in new LTC residents.

methodsThis was a prospective cohort study. From February 2004 to November 2006, information about new residents from 41 LTC homes in Ontario, Canada, was collected from residents and caregivers, and all available health records. A prior HF diagnosis was confirmed by consensus review of available data by two independent experts. Multivariate modelling was utilized to determine the utility of the admission clinical assessment in confirming a prior HF diagnosis.

resultsA total of 449 residents were included for analysis, aged 84.3±6.5 years, and 21.6% had a prior HF diagnosis. The most useful clinical item for diagnosing HF was a "history of HF". The final model included "history of HF' (OR [odds ratio] 13.66, 95% CI 6.61-28.24), "fluid on the lungs" (OR 2.01, 95% CI 1.04-3.89), "orthopnea" (OR 1.76, 95% CI 0.93-3.33), "taking β-blocker" (OR 2.09, 95% CI 1.10-3.94), "taking loop diuretics" (OR 2.11, 95% CI 1.12-3.98), and "history of coronary artery disease" (OR 2.83, 95% CI 1.42-5.64).

conclusionElements of the clinical assessment for new LTC residents can help confirm a prior HF diagnosis. An admission history of HF is highly predictive.

Indexed as

diagnosiselderlyheart failurelong-term carenursing hometransition

Identifiers

PMID24278092
PMCPMC3837714
OpenAlexW2124554772

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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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.