Evidence map›Paper›PMID 34450193›Full record

Observational studyAmerican journal of kidney diseases : the official journal of the National Kidney Foundation2022

Nephrology Referral Based on Laboratory Values, Kidney Failure Risk, or Both: A Study Using Veterans Affairs Health System Data.

Vishal Duggal, Maria E Montez-Rath, I-Chun Thomas, Mary K Goldstein, Manjula Kurella Tamura

Open access · greenAbstract readObservational Study
In one paragraph

Observational study in American journal of kidney diseases : the official journal of the National Kidney Foundation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

12 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Enhancing Clinical Decision Support in Nephrology: Addressing Algorithmic Bias Through Artificial Intelligence Governance.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2024
    Review
  3. Article
  4. Review
  5. Article
  6. Fulfillment and Validity of the Kidney Health Evaluation Measure for People with Diabetes.Mayo Clinic proceedings. Innovations, quality & outcomes · 2023
    Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 1 country.

Vishal DuggalVeterans Affairs Palo Alto Health Care System, Palo Alto, California; Department of Medicine, Division of Nephrology, School of Medicine, Stanford University, Stanford, California; Center for Primary Care and Outcomes Research, Stanford University, Stanford, California. Electronic address: duggal.vishal@gmail.com.
Maria E Montez-RathDepartment of Medicine, Division of Nephrology, School of Medicine, Stanford University, Stanford, California.
I-Chun ThomasGeriatric Research and Education Clinical Center, Palo Alto, California.
Mary K GoldsteinVeterans Affairs Palo Alto Health Care System, Palo Alto, California; Center for Primary Care and Outcomes Research, Stanford University, Stanford, California.
Manjula Kurella TamuraGeriatric Research and Education Clinical Center, Palo Alto, California; Veterans Affairs Palo Alto Health Care System, Palo Alto, California; Department of Medicine, Division of Nephrology, School of Medicine, Stanford University, Stanford, California.
Stanford University · USGeriatric Research Education and Clinical Center · USVA Palo Alto Health Care System · US

Funding

Understanding the Initiation of Maintentenance Dialysis among Older VeteransI01HX001262 · VA · VETERANS ADMIN PALO ALTO HEALTH CARE SYS · PI KURELLA TAMURA, MANJULA · 2014 to 2020
–
HSRD VA I01 HX001262
6 · The paper itself

Abstract

RATIONALE &

objectiveCurrent guidelines for nephrology referral are based on laboratory criteria. We sought to evaluate whether nephrology referral patterns reflect current clinical practice guidelines and to estimate the change in referral volume if they were based on the estimated risk of kidney failure. STUDY

designObservational cohort. SETTING &

participantsRetrospective study of 399,644 veterans with chronic kidney disease (October 1, 2015 through September 30, 2016). EXPOSURE: Laboratory referral criteria based on Veterans Affairs/Department of Defense guidelines, categories of predicted risk for kidney failure using the Kidney Failure Risk Equation, and the combination of laboratory referral criteria and predicted risk. OUTCOME: Number of patients identified for referral. ANALYTICAL APPROACH: We evaluated the number of patients who were referred and their predicted 2-year risk for kidney failure. For each exposure, we estimated the number of patients who would be identified for referral.

resultsThere were 66,276 patients who met laboratory indications for referral. Among these patients, 11,752 (17.7%) were referred to nephrology in the following year. The median 2-year predicted risk of kidney failure was 1.5% (interquartile range, 0.3%-4.7%) among all patients meeting the laboratory referral criteria. If referrals were restricted to patients with a predicted risk of ≥1% in addition to laboratory indications, the potential referral volume would be reduced from 66,276 to 38,229 patients. If referrals were based on predicted risk alone, a 2-year risk threshold of 1% or higher would identify a similar number of patients (72,948) as laboratory-based criteria with median predicted risk of 2.3% (interquartile range, 1.4%-4.6%). LIMITATIONS: Missing proteinuria measurements.

conclusionsThe current laboratory-based guidelines for nephrology referral identify patients who are, on average, at low risk for progression, most of whom are not referred. As an alternative, referral based on a 2-year kidney failure risk exceeding 1% would identify a similar number of patients but with a higher median risk of kidney failure.

Indexed as

Kidney Failure, ChronicNephrologyRenal InsufficiencyRenal Insufficiency, ChronicVeteransDisease ProgressionGlomerular Filtration RateHumansReferral and ConsultationRetrospective StudiesChronic kidney disease (CKD)CKD progressionclinical epidemiologyhealth serviceskidney failure risknephrology referralprognosisreferral volumerisk prediction

Identifiers

PMID34450193
PMCPMC9973036
OpenAlexW3194224799

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.