Evidence map›Paper›PMID 31844806›Full record

ArticleKidney international reports2019

Urinary Transforming Growth Factor-Beta 1 (uTGF-β1) and Prevalent CKD Risk in HIV-Positive Patients in West Africa.

Udeme E Ekrikpo, Cecilia N Okuku, Samuel O Ajayi, Olugbenga E Ayodele, Aminu K Bello, Ambroise Wonkam, Collet Dandara, Andre-Pascal Kengne, Ikechi Okpechi

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

Article in Kidney international reports, 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
0.3field-weighted citation impact, top 41% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Profiling Biomarkers in HIV Glomerular Disease - Potential for the Non-Invasive Diagnosis of HIVAN?International journal of nephrology and renovascular disease · 2021
    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

9 authors at 6 institutions in 3 countries.

Udeme E EkrikpoDivision of Nephrology and Hypertension, Department of Medicine, University of Cape Town, Cape Town, South Africa.
Cecilia N OkukuDepartment of Chemical Pathology, University of Uyo, Uyo, Nigeria.
Samuel O AjayiDepartment of Medicine, University of Ibadan, Ibadan, Nigeria.
Olugbenga E AyodeleDepartment of Medicine, Ladoke Akintola University of Technology, Ogbomoso, Nigeria.
Aminu K BelloDivision of Nephrology and Immunology, Department of Medicine, University of Alberta, Edmonton, Canada.
Ambroise WonkamDivision of Human Genetics, University of Cape Town, Cape Town, South Africa.
Collet DandaraDivision of Human Genetics, University of Cape Town, Cape Town, South Africa.
Andre-Pascal KengneNon-communicable Diseases Research Unit, South African Medical Research Council, Cape Town, South Africa.
Ikechi OkpechiKidney and Hypertension Research Unit, University of Cape Town, Cape Town, South Africa.
University of Cape Town · ZALadoke Akintola University of Technology · NGSouth African Medical Research Council · ZAUniversity of Alberta · CAUniversity of Ibadan · NGUniversity of Uyo · NG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThis study investigated the association of urinary transforming growth factor-β1 (uTGF-β1) with prevalent chronic kidney disease (CKD) in the HIV-infected population.

methodsHIV-positive patients without CKD (HIV

resultsThe age of the participants was 38.3 ± 10.3 years with 73.4% women. The median uTGF-β1Cr was higher among HIV

conclusionHIV

Indexed as

CKDHIVNigeriaurinary TGF-β1

Identifiers

PMID31844806
PMCPMC6895576
OpenAlexW2966213899

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.