Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 453

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

What do we know about chronic kidney disease in India: first report of the Indian CKD registry

Open access
Rajapurkar, Mohan M, John, George T, Kirpalani, Ashok L, Abraham, Georgi, Agarwal, Sanjay K, Almeida, Alan F, Gang, Sishir, Gupta, Amit, Modi, Gopesh, Pahari, Dilip, Pisharody, Ramdas, Prakash, Jai, Raman, Anuradha, Rana, Devinder S, Sharma, Raj K, Sahoo, RN, Sakhuja, Vinay, Tatapudi, Ravi Raju, Jha, Vivekanand·2012·BMC Nephrology

Abstract

Background: There are no national data on the magnitude and pattern of chronic kidney disease (CKD) in India. The Indian CKD Registry documents the demographics, etiological spectrum, practice patterns, variations and special characteristics. Methods: Data was collected for this cross-sectional study in a standardized format according to predetermined criteria. Of the 52,273 adult patients, 35.5%, 27.9%, 25.6% and 11% patients came from South, North, West and East zones respectively. Results: The mean age was 50.1 ± 14.6 years, with M:F ratio of 70:30. Patients from North Zone were younger and those from the East Zone older. Diabetic nephropathy was the commonest cause (31%), followed by CKD of undetermined etiology (16%), chronic glomerulonephritis (14%) and hypertensive nephrosclerosis (13%). About 48% cases presented in Stage V; they were younger than those in Stages III-IV. Diabetic nephropathy patients were older, more likely to present in earlier stages of CKD and had a higher frequency of males; whereas those with CKD of unexplained etiology were younger, had more females and more frequently presented in Stage V. Patients in lower income groups had more advanced CKD at presentation. Patients presenting to public sector hospitals were poorer, younger, and more frequently had CKD of unknown etiology. Conclusions: This report confirms the emergence of diabetic nephropathy as the pre-eminent cause in India. Patients with CKD of unknown etiology are younger, poorer and more likely to present with advanced CKD. There were some geographic variations.

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 · 10.1186/1471-2369-13-10

Cites

2 of 2 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 2 references

Cited by

See all 453

Metadata

Authors
Rajapurkar, M. M., John, G. T., Kirpalani, A. L., Abraham, G., Agarwal, S. K., Almeida, A. F., Gang, S., Gupta, A., Modi, G., Pahari, D., Pisharody, R., Prakash, J., Raman, A., Rana, D. S., Sharma, R. K., Sahoo, R., Sakhuja, V., Tatapudi, R. R., & Jha, V.
Venue
BMC Nephrology
Published
2012-03-06
Volume
13
Issue
1
Pages
10-10
ISSN
1471-2369 (ISSN-L)
OpenAlex
W2060452106
Cited by
453
References
2
FWCI
15.80
Type
journal article
Language
en
Open access
gold

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: What do we know about chronic kidney disease in India: first report of the Indian CKD registry. https://app.cochat.ai/papers/10.1186/1471-2369-13-10
The paper
Rajapurkar, M. M., John, G. T., Kirpalani, A. L., Abraham, G., Agarwal, S. K., Almeida, A. F., Gang, S., Gupta, A., Modi, G., Pahari, D., Pisharody, R., Prakash, J., Raman, A., Rana, D. S., Sharma, R. K., Sahoo, R., Sakhuja, V., Tatapudi, R. R., & Jha, V. (2012). What do we know about chronic kidney disease in India: first report of the Indian CKD registry. BMC Nephrology. https://doi.org/10.1186/1471-2369-13-10

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.