Evidence map›Paper›PMID 38327282›Full record

ArticleClinical kidney journal2024

Kidney Failure Risk Equation in vascular access planning: a population-based study supporting value in decision making.

Mohammad Atiquzzaman, Bingyue Zhu, Alexandra Romann, Lee Er, Ognjenka Djurdjev, Micheli Bevilacqua, Michelle M Y Wong, Peter Birks, Tae Won Yi, Anurag Singh and 2 more

Abstract read
In one paragraph

Article in Clinical kidney journal, 2024. 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
–field-weighted citation impact
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.

  1. Observational
  2. Article
  3. Review
  4. Article
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  7. 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

12 authors.

Mohammad AtiquzzamanBC Renal, Vancouver, Canada.ORCID https://orcid.org/0000-0002-0243-7666
Bingyue ZhuBC Renal, Vancouver, Canada.
Alexandra RomannBC Renal, Vancouver, Canada.
Lee ErBC Renal, Vancouver, Canada.
Ognjenka DjurdjevBC Renal, Vancouver, Canada.
Micheli BevilacquaBC Renal, Vancouver, Canada.
Michelle M Y WongBC Renal, Vancouver, Canada.
Peter BirksBC Renal, Vancouver, Canada.
Tae Won YiBC Renal, Vancouver, Canada.ORCID https://orcid.org/0000-0003-3350-1170
Anurag SinghDivision of Nephrology, Department of Medicine, The University of British Columbia, Vancouver, Canada.
Navdeep TangriDivision of Nephrology, Department of Medicine, University of Manitoba, Winnipeg, Canada.
Adeera LevinBC Renal, Vancouver, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The Kidney Failure Risk Equation (KFRE) can play a better role in vascular access (VA) planning in patients with chronic kidney disease (CKD) requiring hemodialysis (HD). We described the VA creation and utilization pattern under existing estimated glomerular filtration rate (eGFR)-based referral, and investigated the utility of KFRE score as an adjunct variable in VA planning. Methods: Patients with CKD aged ≥18 years with eGFR <20 mL/min/1.73 m Results: Study included 2581 patients, median age 71 years, 60% male. Overall, 1562(61%) started HD and 276 (11%) experienced death before HD initiation within 2 years. Compared with current referral, the proportion of patients who started HD on AVF/G was significantly higher when KFRE-2 was considered in addition to current referral (49% vs 58%, Conclusions: KFRE in addition to existing eGFR-based referral for VA creation has the potential to improve VA resource utilization by ensuring more patients start HD on AVF/G and may minimize too-early/unnecessary creation. Prospective research is necessary to validate these findings.

Indexed as

chronic kidney diseasehemodialysisKFREvascular access

Identifiers

PMID38327282
PMCPMC10847629

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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.