Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 275

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

Anti–TGF-β1 Antibody Therapy in Patients with Diabetic Nephropathy

Open access
Voelker, James, Berg, Paul H., Sheetz, Matthew, Duffin, Kevin, Shen, Tong, Moser, Brian, Greene, Tom, Blumenthal, Samuel S., Rychlik, Ivan, Yagil, Yoram, Zaoui, Philippe, Lewis, Julia B.·2017·Journal of the American Society of Nephrology

Abstract

TGF- β has been implicated as a major pathogenic factor in diabetic nephropathy. This randomized, double-blind, phase 2 study assessed whether modulating TGF- β 1 activity with a TGF- β 1–specific, humanized, neutralizing monoclonal antibody (TGF- β 1 mAb) is safe and more effective than placebo in slowing renal function loss in patients with diabetic nephropathy on chronic stable renin-angiotensin system inhibitor treatment. We randomized 416 patients aged ≥25 years with type 1 or type 2 diabetes, a serum creatinine (SCr) level of 1.3–3.3 mg/dl for women and 1.5–3.5 mg/dl for men (or eGFR of 20–60 ml/min per 1.73 m 2 ), and a 24-hour urine protein-to-creatinine ratio ≥800 mg/g to TGF- β 1 mAb (2-, 10-, or 50-mg monthly subcutaneous dosing for 12 months) or placebo. We assessed a change in SCr from baseline to 12 months as the primary efficacy variable. Although the Data Monitoring Committee did not identify safety issues, we terminated the trial 4 months early for futility on the basis of their recommendation. The placebo group had a mean±SD change in SCr from baseline to end of treatment of 0.33±0.67 mg/dl. Least squares mean percentage change in SCr from baseline to end of treatment did not differ between placebo (14%; 95% confidence interval [95% CI], 9.7% to 18.2%) and TGF- β 1 mAb treatments (20% [95% CI, 15.3% to 24.3%], 19% [95% CI, 14.2% to 23.0%], and 19% [95% CI, 14.0% to 23.3%] for 2-, 10-, and 50-mg doses, respectively). Thus, TGF- β 1 mAb added to renin-angiotensin system inhibitors did not slow progression of diabetic nephropathy.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1681/asn.2015111230

Cites

8 of 8 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 8 references

Cited by

See all 275

Metadata

Authors
Voelker, J., Berg, P. H., Sheetz, M., Duffin, K., Shen, T., Moser, B., Greene, T., Blumenthal, S. S., Rychlik, I., Yagil, Y., Zaoui, P., & Lewis, J. B.
Venue
Journal of the American Society of Nephrology
Published
2016-09-19
Volume
28
Issue
3
Pages
953-962
ISSN
  • 1046-6673 (ISSN-L)
  • 1533-3450
OpenAlex
W2521123529
Cited by
275
References
8
FWCI
18.36
Type
journal article
Language
en
Open access
green

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Anti–TGF-β1 Antibody Therapy in Patients with Diabetic Nephropathy. https://app.cochat.ai/papers/10.1681/asn.2015111230
The paper
Voelker, J., Berg, P. H., Sheetz, M., Duffin, K., Shen, T., Moser, B., Greene, T., Blumenthal, S. S., Rychlik, I., Yagil, Y., Zaoui, P., & Lewis, J. B. (2017). Anti–TGF-β1 Antibody Therapy in Patients with Diabetic Nephropathy. Journal of the American Society of Nephrology. https://doi.org/10.1681/asn.2015111230

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.