Evidence map›Paper›PMID 37712954›Full record

ArticleDiabetologia2023

Improved prediction of long-term kidney outcomes in people with type 2 diabetes by levels of circulating haematopoietic stem/progenitor cells.

Benedetta Maria Bonora, Mario Luca Morieri, Marella Marassi, Roberta Cappellari, Angelo Avogaro, Gian Paolo Fadini

Open access · hybridAbstract read
In one paragraph

Article in Diabetologia, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
5.8field-weighted citation impact, top 4% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

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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

6 authors at 1 institution in 1 country.

Benedetta Maria Bonora *Department of Medicine, University of Padova, Padua, Italy.ORCID http://orcid.org/0000-0002-6770-2723
Mario Luca Morieri *Department of Medicine, University of Padova, Padua, Italy.ORCID http://orcid.org/0000-0001-6864-0547
Marella MarassiDepartment of Medicine, University of Padova, Padua, Italy.
Roberta CappellariDepartment of Medicine, University of Padova, Padua, Italy.
Angelo AvogaroDepartment of Medicine, University of Padova, Padua, Italy.
Gian Paolo FadiniDepartment of Medicine, University of Padova, Padua, Italy. gianpaolo.fadini@unipd.it.ORCID http://orcid.org/0000-0002-6510-2097
University of Padua · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aim/hypothesisWe examined whether prediction of long-term kidney outcomes in individuals with type 2 diabetes can be improved by measuring circulating levels of haematopoietic stem/progenitor cells (HSPCs), which are reduced in diabetes and are associated with cardiovascular risk.

methodsWe included individuals with type 2 diabetes who had a baseline determination of circulating HSPCs in 2004-2019 at the diabetes centre of the University Hospital of Padua and divided them into two groups based on their median value per ml of blood. We collected updated data on eGFR and albuminuria up to December 2022. The primary endpoint was a composite of new-onset macroalbuminuria, sustained ≥40% eGFR decline, end-stage kidney disease or death from any cause. The analyses were adjusted for known predictors of kidney disease in the population with diabetes.

resultsWe analysed 342 participants (67.8% men) with a mean age of 65.6 years. Those with low HSPC counts (n=171) were significantly older and had a greater prevalence of hypertension, heart failure and nephropathy (45.0% vs 33.9%; p=0.036), as evidenced by lower eGFR and higher albuminuria at baseline. During a median follow-up of 6.7 years, participants with high vs low HSPC counts had lower rates of the composite kidney outcome (adjusted HR 0.69 [95% CI 0.49, 0.97]), slower decline in eGFR and a similar increase in albuminuria. Adding the HSPC information to the risk score of the CKD Prognosis Consortium significantly improved discrimination of individuals with future adverse kidney outcomes. CONCLUSIONS/

interpretationHSPC levels predict worsening of kidney function and improve the identification of individuals with type 2 diabetes and adverse kidney outcomes over and beyond a clinical risk score.

Indexed as

Diabetes Mellitus, Type 2Kidney DiseasesRenal Insufficiency, ChronicAgedAlbuminuriaFemaleGlomerular Filtration RateHumansKidneyMaleStem CellsEnd-stage kidney diseaseInflammationNon-albuminuricRegenerationStratification

Identifiers

PMID37712954
PMCPMC10627906
OpenAlexW4386757615

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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.