Evidence map›Paper›PMID 26924065›Full record

ArticleKidney international2016

Predicting residual kidney function in hemodialysis patients using serum β-trace protein and β2-microglobulin.

Jonathan Wong, Sivakumar Sridharan, Jocelyn Berdeprado, Enric Vilar, Adie Viljoen, David Wellsted, Ken Farrington

Open access · bronzeAbstract readValidation Study
PubMed Publisher
In one paragraph

Article in Kidney international, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
7.3field-weighted citation impact, top 2% 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

28 citing papers in PubMed, 58 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Review
  6. Article
  7. Review
  8. Delayed Graft Function After Kidney Transplantation: The Role of Residual Diuresis and Waste Products, as Oxalic Acid and Its Precursors.Transplant international : official journal of the European Society for Organ Transplantation · 2024
    Article
  9. Review
  10. Article
  11. Article
  12. Incremental Hemodialysis: What We Know so Far.International journal of nephrology and renovascular disease · 2022
    Review
  13. Article
  14. Article
  15. Article
  16. Narrative Review of Incremental Hemodialysis.Kidney international reports · 2020
    Review
  17. Article
  18. Article
  19. Article
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

Jonathan WongDepartment of Nephrology, Lister Hospital, Hertfordshire, UK; University of Hertfordshire, Hertfordshire, UK.
Sivakumar SridharanDepartment of Nephrology, Lister Hospital, Hertfordshire, UK; University of Hertfordshire, Hertfordshire, UK.
Jocelyn BerdepradoDepartment of Nephrology, Lister Hospital, Hertfordshire, UK.
Enric VilarDepartment of Nephrology, Lister Hospital, Hertfordshire, UK; University of Hertfordshire, Hertfordshire, UK.
Adie ViljoenCambridge University Hospitals, Cambridge, UK.
David WellstedUniversity of Hertfordshire, Hertfordshire, UK.
Ken FarringtonDepartment of Nephrology, Lister Hospital, Hertfordshire, UK; University of Hertfordshire, Hertfordshire, UK. Electronic address: ken.farrington@nhs.net.
Lister Hospital · GBCambridge University Hospitals NHS Foundation Trust · GBUniversity of Hertfordshire · GB

Funding

Department of Health PB-PG-0110-21073Department of Health PB-PG-0909-19044Department of Health PB-PG-1112-29078
6 · The paper itself

Abstract

Residual kidney function (RKF) contributes significant solute clearance in hemodialysis patients. Kidney Diseases Outcomes Quality Initiative (KDOQI) guidelines suggest that hemodialysis dose can be safely reduced in those with residual urea clearance (KRU) of 2 ml/min/1.73 m(2) or more. However, serial measurement of RKF is cumbersome and requires regular interdialytic urine collections. Simpler methods for assessing RKF are needed. β-trace protein (βTP) and β2-microglobulin (β2M) have been proposed as alternative markers of RKF. We derived predictive equations to estimate glomerular filtration rate (GFR) and KRU based on serum βTP and β2M from 191 hemodialysis patients based on standard measurements of KRU and GFR (mean of urea and creatinine clearances) using interdialytic urine collections. These modeled equations were tested in a separate validation cohort of 40 patients. A prediction equation for GFR that includes both βTP and β2M provided a better estimate than either alone and contained the terms 1/βTP, 1/β2M, 1/serum creatinine, and a factor for gender. The equation for KRU contained the terms 1/βTP, 1/β2M, and a factor for ethnicity. Mean bias between predicted and measured GFR was 0.63 ml/min and 0.50 ml/min for KRU. There was substantial agreement between predicted and measured KRU at a cut-off level of 2 ml/min/1.73 m(2). Thus, equations involving βTP and β2M provide reasonable estimates of RKF and could potentially be used to identify those with KRU of 2 ml/min/1.73 m(2) or more to follow the KDOQI incremental hemodialysis algorithm.

Indexed as

Glomerular Filtration RateRenal DialysisAgedbeta 2-MicroglobulinBiomarkersComorbidityCreatinineCross-Sectional StudiesEthnicityFemaleHumansIntramolecular OxidoreductasesKidneyKidney DiseasesLinear ModelsLipocalinsbeta 2-MicroglobulinBiomarkersCreatinineIntramolecular OxidoreductasesLipocalinsprostaglandin R2 D-isomeraseUreabeta 2 microglobulinbeta trace proteinhemodialysisresidual kidney function

Identifiers

PMID26924065
OpenAlexW2274612293

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.