Evidence map›Paper›PMID 39310117›Full record

ArticleKidney medicine2024

Kidney Biopsy Findings Among Patients With Diabetes in the Cleveland Clinic Kidney Biopsy Epidemiology Project.

Alvin G Kwon, Hanny Sawaf, Gilda Portalatin, Shruti Shettigar, Leal C Herlitz, Tariq Shafi, Hong Liang, Adam Kabuka, Scott Cohen, Surafel K Gebreselassie and 1 more

Abstract read
In one paragraph

Article in Kidney medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  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

11 authors.

Alvin G KwonDepartment of Medicine, Cleveland Clinic Foundation, Cleveland, OH.
Hanny SawafDepartment of Kidney Medicine, Cleveland Clinic Foundation, Cleveland, OH.
Gilda PortalatinDepartment of Medicine, Cleveland Clinic Florida, Weston, FL.
Shruti ShettigarDepartment of Medicine, Cleveland Clinic Florida, Weston, FL.
Leal C HerlitzDepartment of Pathology, Cleveland Clinic Foundation, Cleveland, OH.
Tariq ShafiDepartment of Medicine, Division of Kidney Diseases, Hypertension and Transplantation, Houston Methodist Hospital, Houston, TX.
Hong LiangCleveland Clinic Florida, Weston, FL.
Adam KabukaCleveland Clinic Florida, Weston, FL.
Scott CohenDepartment of Kidney Medicine, Cleveland Clinic Florida, Weston, FL.
Surafel K GebreselassieDepartment of Kidney Medicine, Cleveland Clinic Florida, Weston, FL.
Shane A BobartDepartment of Medicine, Division of Kidney Diseases, Hypertension and Transplantation, Houston Methodist Hospital, Houston, TX.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rationale & Objectives: Diabetic kidney disease (DKD) is a significant complication of diabetes mellitus, often leading to kidney failure. The absence of well-defined factors prevents distinguishing DKD from non-diabetic kidney disease (non-DKD; alternative primary diagnosis identified on kidney biopsy). Study Design: Retrospective cohort study. Setting & Participants: This study assessed 1,242 patients with a history of diabetes from the Cleveland Clinic Kidney Biopsy Epidemiology Project between January 2015 and September 2021. Exposure: Proteinuria, retinopathy, A1c levels, and estimated glomerular filtration rate. Outcomes: Non-DKD, defined as an alternative primary diagnosis identified on kidney biopsy other than DKD. Analytical Approach: Multivariate logistic regression model with backward elimination method. Results: At the time of biopsy, the median (IQR) age was 63 (53-71 years) years, and 58.8% were men. The median hemoglobin A1c value was 6.7% (6.0%-8.1%), and the median serum creatinine level was 2.5 (1.6-3.9 mg/dL) mg/dL. Among 1,242 patients, 462 (37.2%) had DKD alone, and 780 (62.8%) had non-DKD. Among those with non-DKD, the most common diagnoses were focal segmental glomerulosclerosis (24%), global glomerulosclerosis otherwise not specified (13%), acute tubular necrosis (9%), IgA nephropathy (8%), antineutrophil cytoplasmic antibody vasculitis (7%), and membranous nephropathy (5%). Factors associated with having non-DKD on biopsy were having no retinopathy (vs retinopathy) (adjusted odds ratio [aOR], 3.98; 95% CI, 2.69-5.90), lower A1c levels (<7% vs ≥7%) (aOR, 3.08; 95% CI, 2.16-4.39), higher estimated glomerular filtration rate (≥60 vs <60 mL/min/1.73 m Limitations: Selection bias of clinically indicated biopsies, not protocol biopsies, which likely represent a ceiling (maximum) for non-DKD. Conclusions: Among patients with diabetes undergoing kidney biopsy, 63% have findings in addition to DKD on biopsy. We identified clinical parameters associated with non-DKD in the setting of diabetes. This provides valuable information for clinicians when kidney biopsy should be considered among patients with diabetes to capture all etiologies of proteinuria and kidney dysfunction.

Indexed as

diabetic nephropathyKidney biopsynondiabetic kidney diseaseproteinuriaretinopathy

Identifiers

PMID39310117
PMCPMC11414546

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.