Evidence map›Paper›PMID 35226895›Full record

ArticleAmerican journal of nephrology2022

Comparative Effectiveness of Dialysis Modality on Laboratory Parameters of Mineral Metabolism.

Melissa Soohoo, Yoshitsugu Obi, Matthew B Rivara, Scott V Adams, Wei Ling Lau, Connie M Rhee, Csaba P Kovesdy, Kamyar Kalantar-Zadeh, Onyebuchi A Arah, Rajnish Mehrotra and 1 more

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

Article in American journal of nephrology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.2field-weighted citation impact, top 24% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Observational
  2. Article
  3. Article
  4. Epidemiology of peritoneal dialysis outcomes.Nature reviews. Nephrology · 2022
    Review
  5. 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

11 authors at 6 institutions in 2 countries.

Melissa SoohooDivision of Nephrology and Hypertension, Harold Simmons Center for Kidney Disease Research and Epidemiology, University of California Irvine Medical Center, Orange, California, USA.
Yoshitsugu ObiDivision of Nephrology, Department of Medicine, University of Mississippi Medical Center, Jackson, Mississippi, USA.
Matthew B RivaraDivision of Nephrology, Department of Medicine, University of Washington, Seattle, Washington, USA.
Scott V AdamsVaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA.
Wei Ling LauDivision of Nephrology and Hypertension, Harold Simmons Center for Kidney Disease Research and Epidemiology, University of California Irvine Medical Center, Orange, California, USA.
Connie M RheeDivision of Nephrology and Hypertension, Harold Simmons Center for Kidney Disease Research and Epidemiology, University of California Irvine Medical Center, Orange, California, USA.
Csaba P KovesdyNephrology Section, Memphis Veterans Affairs Medical Center, Memphis, Tennessee, USA.
Kamyar Kalantar-ZadehDivision of Nephrology and Hypertension, Harold Simmons Center for Kidney Disease Research and Epidemiology, University of California Irvine Medical Center, Orange, California, USA.
Onyebuchi A ArahDepartment of Epidemiology, Fielding School of Public Health, University of California, Los Angeles (UCLA), Los Angeles, California, USA.
Rajnish MehrotraDivision of Nephrology, Department of Medicine, University of Washington, Seattle, Washington, USA.
Elani StrejaDivision of Nephrology and Hypertension, Harold Simmons Center for Kidney Disease Research and Epidemiology, University of California Irvine Medical Center, Orange, California, USA.
University of California, Irvine Medical Center · USUniversity of California, Los Angeles · USUniversity of Washington · USFred Hutch Cancer Center · USUniversity of Mississippi Medical Center · USUniversity of Tennessee Health Science Center · US

Funding

UCLA Clinical Translational Science InstituteUL1TR001881 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ARLEEN F. BROWN, ARASH NAEIM · 2016 to 2026
$118.1M
Statistics and Methods CoreR24HD041022 · NICHD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BUCHINSKY, MOSHE · 2001 to 2016
$10.1M
Scientific and Technical CoreP2CHD041022 · NICHD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HIRAM BELTRAN-SANCHEZ · 2016 to 2026
$6.9M
MALNUTRITION, DIET AND RACIAL DISPARITIES IN CKDK24DK091419 · NIDDK · UNIVERSITY OF CALIFORNIA-IRVINE · PI KALANTAR-ZADEH, KAMYAR · 2011 to 2020
$1.8M
Gut-Derived Toxins and Brain Microbleeds in Chronic Kidney DiseaseR01NS113337 · NINDS · UNIVERSITY OF CALIFORNIA-IRVINE · PI LAU, WEI LING · 2020 to 2024
$1.7M
NCATS NIH HHS UL1 TR001881NICHD NIH HHS P2C HD041022NICHD NIH HHS R24 HD041022NIDDK NIH HHS K24 DK091419NINDS NIH HHS R01 NS113337
6 · The paper itself

Abstract

introductionChronic kidney disease-mineral and bone disorders (CKD-MBD) are prevalent in patients undergoing maintenance dialysis. Yet, there are limited and mixed evidence on the effects of different dialysis modalities involving longer treatment times or higher frequencies on CKD-MBD markers.

methodsThis cohort study used data from 132,523 incident dialysis patients treated with any of the following modalities: conventional thrice-weekly in-center hemodialysis, nocturnal in-center hemodialysis (NICHD), home hemodialysis (HHD), or peritoneal dialysis (PD) from 2007 to 2011. We used marginal structural models fitted with inverse probability weights to adjust for fixed and time-varying confounding and informative censoring. We estimated the average effects of treatments with different dialysis modalities on time-varying serum concentrations of CKD-MBD markers: albumin-corrected calcium, phosphate, parathyroid hormone (PTH), and alkaline phosphatase (ALP) using pooled linear regression.

resultsMost of the cohort were exclusively treated with conventional in-center hemodialysis, while few were ever treated with NICHD or HHD. At the baseline, PD patients had the lowest mean and median values of PTH, while NICHD patients had the highest median values. During follow-up, compared to hemodialysis patients, patients treated with NICHD had lower mean serum PTH (19.8 pg/mL [95% confidence interval: 2.8, 36.8] lower), whereas PD and HHD patients had higher mean PTH (39.7 pg/mL [31.6, 47.8] and 51.2 pg/mL [33.0, 69.3] higher, respectively). Compared to hemodialysis patients, phosphate levels were lower for patients treated with NICHD (0.44 mg/dL [0.37, 0.52] lower), PD (0.15 mg/dL [0.12, 0.19] lower), or HHD (0.33 mg/dL [0.27, 0.40] lower). There were no clinically meaningful associations between dialysis modalities and concentrations of calcium or ALP.

conclusionIn incident dialysis patients, compared to treatment with conventional in-center hemodialysis, treatments with other dialysis modalities with longer treatment times or higher frequency were associated with different patterns of serum phosphate and PTH. Given the recent growth in the use of dialysis modalities other than hemodialysis, the associations between the treatment and the CKD-MBD markers warrant additional study.

Indexed as

Chronic Kidney Disease-Mineral and Bone DisorderRenal DialysisCalciumCohort StudiesHumansMineralsParathyroid HormoneCalciumMineralsParathyroid HormoneExtended-hours hemodialysisIn-center hemodialysisMaintenance dialysisMarginal structural modelMineral and bone disordersNocturnal hemodialysisPeritoneal dialysis

Identifiers

PMID35226895
PMCPMC9116596
OpenAlexW4214750993

What OpenQuestion holds

Textmetadata
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.