Evidence map›Paper›PMID 28736565›Full record

ArticleCardiorenal medicine2017

Urinary Osteopontin Predicts Incident Chronic Kidney Disease, while Plasma Osteopontin Predicts Cardiovascular Death in Elderly Men.

Tobias Feldreich, Axel C Carlsson, Johanna Helmersson-Karlqvist, Ulf Risérus, Anders Larsson, Lars Lind, Johan Ärnlöv

Open access · bronzeAbstract read
In one paragraph

Article in Cardiorenal medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact, top 99% 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

16 citing papers in PubMed, 0 citations in OpenAlex.

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  14. Combining Neprilysin Inhibitor With ATFrontiers in pharmacology · 2021
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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

7 authors at 2 institutions in 1 country.

Tobias FeldreichSchool of Health and Social Studies, Dalarna University, Falun, Sweden.
Axel C CarlssonDivision of Family Medicine and Primary Care, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.
Johanna Helmersson-KarlqvistClinical Chemistry, Uppsala University Hospital, Uppsala, Sweden.
Ulf RisérusDepartment of Public Health and Caring Sciences, Uppsala University Hospital, Uppsala, Sweden.
Anders LarssonClinical Chemistry, Uppsala University Hospital, Uppsala, Sweden.
Lars LindCardiovascular Epidemiology, Department of Medical Sciences, Uppsala University Hospital, Uppsala, Sweden.
Johan ÄrnlövSchool of Health and Social Studies, Dalarna University, Falun, Sweden.
Uppsala University Hospital · SEDalarna University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesThe matricellular protein osteopontin is involved in the pathogenesis of both kidney and cardiovascular disease. However, whether circulating and urinary osteopontin levels are associated with the risk of these diseases is less studied. DESIGN SETTING PARTICIPANTS AND MEASUREMENTS: A community-based cohort of elderly men (Uppsala Longitudinal Study of Adult Men [ULSAM];

resultsThere was no significant cross-sectional correlation between plasma and urinary osteopontin (Spearman ρ = 0.07,

conclusionsHigher urinary osteopontin specifically predicts incident chronic kidney disease, while plasma osteopontin specifically predicts cardiovascular death. Our data put forward osteopontin as an important factor in the detrimental interplay between the kidney and the cardiovascular system. The clinical implications, and why plasma and urinary osteopontin mirror different pathologies, remain to be established.

Indexed as

AtherosclerosisCardiovascular risk markerEpidemiologyProteinRenal disease

Identifiers

PMID28736565
PMCPMC5511996
OpenAlexW2582850673

What OpenQuestion holds

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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.