Evidence map›Paper›PMID 39430180›Full record

ArticleKidney international reports2024

Clinical Outcomes of a Novel Multidisciplinary Care Program in Advanced Kidney Disease (PEAK).

Daniil Shimonov, Sri Lekha Tummalapalli, Stephanie Donahue, Vidya Narayana, Sylvia Wu, Lisa S Walters, Roberta Billman, Barbara Desiderio, Sandra Pressman, Oliver Fielding and 8 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Kidney international reports, 2024. 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
–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

2 citing papers in PubMed.

  1. Article
  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

18 authors.

Daniil ShimonovThe Rogosin Institute, New York, New York, USA.
Sri Lekha TummalapalliThe Rogosin Institute, New York, New York, USA.
Stephanie DonahueThe Rogosin Institute, New York, New York, USA.
Vidya NarayanaNew York Quality Care, New York-Presbyterian, New York, New York, USA.
Sylvia WuDivision of Nephrology and Hypertension, Department of Medicine, Weill Cornell Medicine, New York, New York, USA.
Lisa S WaltersThe Rogosin Institute, New York, New York, USA.
Roberta BillmanThe Rogosin Institute, New York, New York, USA.
Barbara DesiderioThe Rogosin Institute, New York, New York, USA.
Sandra PressmanThe Rogosin Institute, New York, New York, USA.
Oliver FieldingOliver Fielding is an independent contractor.
Kariel SweeneyThe Rogosin Institute, New York, New York, USA.
Daniel CukorThe Rogosin Institute, New York, New York, USA.
Daniel M LevineThe Rogosin Institute, New York, New York, USA.
Thomas S ParkerThe Rogosin Institute, New York, New York, USA.
Vesh SrivatanaThe Rogosin Institute, New York, New York, USA.
Jeffrey SilberzweigThe Rogosin Institute, New York, New York, USA.
Frank LiuThe Rogosin Institute, New York, New York, USA.
Andrew BohmartThe Rogosin Institute, New York, New York, USA.

Funding

AHRQ HHS K08 HS028684
6 · The paper itself

Abstract

Introduction: Multidisciplinary care (MDC) for late-stage chronic kidney disease (CKD) has been associated with improved patient outcomes compared with traditional nephrology care; however, the optimal MDC model is unknown. In 2015, we implemented a novel MDC model for patients with late-stage CKD informed by the Chronic Care Model conceptual framework, including an expanded MDC team, care plan meetings, clinical risk prediction, and a patient dashboard. Methods: We conducted a single-center, retrospective cohort study of adults with late-stage CKD (estimated glomerular filtration rate [eGFR] < 30 ml/min per 1.73 m Results: Among 489 patients in the PEAK program, 37 (8%) died prior to ESKD and 151 (31%) never progressed to ESKD. Of the 301 patients (62%) who progressed to ESKD, 175 (58%) achieved an optimal transition to ESKD, including 54 (18%) on peritoneal dialysis, 16 (5%) on home hemodialysis, and 36 (12%) to preemptive transplant. Of the 195 patients (65%) starting ICHD, 51% started with an AVF or AVG and 52% started as an outpatient. The likelihood of starting home dialysis increased by 1.34 times per year from 2015 to 2020 (95% confidence interval [CI]: 1.05-1.71, Conclusion: Patients enrolled in a novel comprehensive MDC model coupled with risk prediction and health information technology were nearly twice as likely to achieve an optimal transition to ESKD and start dialysis at home, compared with national averages.

Indexed as

chronic care modelhealth information technologyhome dialysislate-stage chronic kidney diseasemultidisciplinary careoptimal starts

Identifiers

PMID39430180
PMCPMC11489444

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.