Evidence map›Paper›PMID 33102966›Full record

ArticleKidney international reports2020

Performance of Predictive Equations and Biochemical Measures Quantifying Net Endogenous Acid Production and the Potential Renal Acid Load.

Benjamin H Parmenter, Michael Dymock, Tanushree Banerjee, Anthony Sebastian, Gary J Slater, Lynda A Frassetto

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

Article in Kidney international reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.4field-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

14 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Dietary acid load in health and disease.Pflugers Archiv : European journal of physiology · 2024
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. 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

6 authors at 3 institutions in 2 countries.

Benjamin H ParmenterSchool of Biomedical Sciences, University of Western Australia, Royal Perth Hospital, Perth, Western Australia, Australia.
Michael DymockCentre for Applied Statistics, Department of Mathematics and Statistics, University of Western Australia, Perth, Western Australia, Australia.
Tanushree BanerjeeSchool of Medicine, University of California San Francisco, San Francisco, California, USA.
Anthony SebastianSchool of Medicine, University of California San Francisco, San Francisco, California, USA.
Gary J SlaterSchool of Health and Sport Sciences, University of the Sunshine Coast, Sippy Downs, Queensland, Australia.
Lynda A FrassettoSchool of Medicine, University of California San Francisco, San Francisco, California, USA.
University of California, San Francisco · USUniversity of Western Australia · AUUniversity of the Sunshine Coast · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionA limited number of studies have assessed the accuracy and precision of methods for determining the net endogenous acid production (NEAP) and its components. We aimed to investigate the performance of methods quantifying the diet dependent acid-base load.

methodsData from metabolic balance studies enabled calculations of NEAP according to the biochemical measures (of net acid excretion [NAE], urinary net endogenous acid production [

resultsSeventeen participants (mean ± SD age, 60 ± 8 years; body mass index, 23 ± 2 kg/m

conclusionsResearchers are encouraged to collect measures of

Indexed as

accuracyacid–base balancenet endogenous acid productionpotential renal acid loadprecision

Identifiers

PMID33102966
PMCPMC7569692
OpenAlexW3046065933

What OpenQuestion 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 OpenQuestion graph.