Evidence map›Paper›PMID 36225973›Full record

ArticleF1000Research2019

Statistical models for the deterioration of kidney function in a primary care population: A retrospective database analysis.

Jason L Oke, Benjamin G Feakins, Iryna Schlackow, Borislava Mihaylova, Claire Simons, Chris A O'Callaghan, Daniel S Lasserson, F D Richard Hobbs, Richard J Stevens, Rafael Perera

Abstract read
In one paragraph

Article in F1000Research, 2019. 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

10 authors.

Jason L OkeNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, OX2 6GG, UK.ORCID https://orcid.org/0000-0003-3467-6677
Benjamin G FeakinsNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, OX2 6GG, UK.ORCID https://orcid.org/0000-0002-3928-6750
Iryna SchlackowNuffield Department of Population Health, University of Oxford, Oxford, OX3 7LF, UK.
Borislava MihaylovaNuffield Department of Population Health, University of Oxford, Oxford, OX3 7LF, UK.ORCID https://orcid.org/0000-0002-0951-1304
Claire SimonsNuffield Department of Population Health, University of Oxford, Oxford, OX3 7LF, UK.
Chris A O'CallaghanNuffield Department of Medicine, University of Oxford, Oxford, OX3 7LF, UK.ORCID https://orcid.org/0000-0001-9962-3248
Daniel S LassersonInstitute of Applied Health Research, University of Birmingham, Birmingham, B15 2TT, UK.
F D Richard HobbsNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, OX2 6GG, UK.
Richard J StevensNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, OX2 6GG, UK.ORCID https://orcid.org/0000-0002-9258-4060
Rafael PereraNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, OX2 6GG, UK.ORCID https://orcid.org/0000-0003-2418-2091

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Chronic Kidney Disease (CKD)Clinical Practice Research Datalink (CPRD)Estimated Glomerular Filtration Rate (eGFR)Hidden Markov Model (HMM)Kidney Function DeclinePrimary CareProteinuria

Identifiers

PMID36225973
PMCPMC9532959

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.