Evidence map›Paper›PMID 26688745›Full record

ArticleCanadian journal of kidney health and disease2015

Perceptions of prognostic risks in chronic kidney disease: a national survey.

Helen H L Chiu, Navdeep Tangri, Ognjenka Djurdjev, Brendan J Barrett, Brenda R Hemmelgarn, François Madore, Claudio Rigatto, Norman Muirhead, Manish M Sood, Catherine M Clase and 1 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Canadian journal of kidney health and disease, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.8field-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

8 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
  2. Article
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  4. Observational
  5. Patients,' Nephrologists,' and Predicted Estimations of ESKD Risk Compared with 2-Year Incidence of ESKD.Clinical journal of the American Society of Nephrology : CJASN · 2019
    Observational
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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

11 authors at 10 institutions in 1 country.

Helen H L ChiuNephrology Research, Providence Health Care Research Institute, 4th floor, 1125 Howe Street, Vancouver, BC V6Z 2K8 Canada ; BC Provincial Renal Agency, Vancouver, BC Canada.
Navdeep TangriDepartment of Medicine, Faculty of Medicine, University of Manitoba, Winnipeg, MB Canada.
Ognjenka DjurdjevDepartment of Medicine, Faculty of Medicine, University of Manitoba, Winnipeg, MB Canada ; Provincial Health Services Authority, Vancouver, BC Canada.
Brendan J BarrettDepartment of Medicine, Faculty of Medicine, Memorial University of Newfoundland, St. John's, NL Canada.
Brenda R HemmelgarnDivision of Nephrology, Foothills Medical Centre, Calgary, AB Canada.
François MadoreDepartment of Medicine, Faculty of Medicine, Université de Montréal, Montréal, QC Canada.
Claudio RigattoDepartment of Medicine, Faculty of Medicine, University of Manitoba, Winnipeg, MB Canada.
Norman MuirheadDepartment of Medicine, Faculty of Medicine, The University of Western Ontario, Hamilton, ON Canada.
Manish M SoodOttawa Hospital Research Institute, University of Ottawa, Ottawa, ON Canada.
Catherine M ClaseDepartment of Medicine, Faculty of Medicine, McMaster University, London, ON Canada.
Adeera LevinBC Provincial Renal Agency, Vancouver, BC Canada ; Department of Medicine, Faculty of Medicine, The University of British Columbia, Vancouver, BC Canada.
University of Manitoba · CAFoothills Medical Centre · CAMcMaster University · CAMemorial University of Newfoundland · CAOttawa Hospital · CAProvidence Health Care Research Institute · CAProvincial Health Services Authority · CAUniversité de Montréal · CAUniversity of British Columbia · CAWestern University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPredicting the clinical trajectories of chronic kidney disease (CKD) to discern personalized care remains a complex challenge in nephrology. Understanding the appropriate risk thresholds and time frame associated with predicting risks of key outcomes (kidney failure, cardiovascular (CV) events, and death) is critical in facilitating decision-making. As part of an exploratory research and practice support needs assessment, we aimed to determine the importance of the time frames for predicting key outcomes, and to assess the perceived demand for risk prediction tools among Canadian nephrologists.

methodsA web-based survey was developed by a pan-Canadian expert panel of practitioners. Upon pre-test for clarity and ease of completion, the final survey was nationally deployed to Canadian nephrologists. Anonymous responses were gathered over a 4-month period. The results were analyzed using descriptive statistics.

resultsOne hundred eleven nephrologists responded to our survey. The majority of the respondents described prediction of events over time frames of 1-5 years as being "extremely important" or "very important" to decision-making on a 5-point Likert scale. To plan for arteriovenous fistula referral, the respondents deemed thresholds which would predict probability of kidney failure between >30 and >50 % at 1 year, as useful, while many commented that the rate of progression should be included for decision-making. Over 80 % of the respondents were not satisfied with their current ability to predict the progression to kidney failure, CV events, and death. Most of them indicated that they would value and use validated risk scores for decision-making.

conclusionsOur national survey of nephrologists shows that the risk prediction for major adverse clinical outcomes is valuable in CKD at multiple time frames and risk thresholds. Further research is required in developing relevant and meaningful risk prediction models for clinical decision-making in patient-centered CKD care.

Indexed as

Chronic kidney diseaseDecision-makingRisk perceptionRisk prediction modelsTime frames

Identifiers

PMID26688745
PMCPMC4684914
OpenAlexW2212965850

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.