The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
The global burden of kidney disease and the sustainable development goals
Open accessAbstract
Kidney disease has been described as the most neglected chronic disease. Reliable estimates of the global burden of kidney disease require more population-based studies, but specific risks occur across the socioeconomic spectrum from poverty to affluence, from malnutrition to obesity, in agrarian to post-industrial settings, and along the life course from newborns to older people. A range of communicable and noncommunicable diseases result in renal complications and many people who have kidney disease lack access to care. The causes, consequences and costs of kidney diseases have implications for public health policy in all countries. The risks of kidney disease are also influenced by ethnicity, gender, location and lifestyle. Increasing economic and health disparities, migration, demographic transition, unsafe working conditions and environmental threats, natural disasters and pollution may thwart attempts to reduce the morbidity and mortality from kidney disease. A multisectoral approach is needed to tackle the global burden of kidney disease. The sustainable development goals (SDGs) emphasize the importance of a multisectoral approach to health. We map the actions towards achieving all of the SDGs that have the potential to improve understanding, measurement, prevention and treatment of kidney disease in all age groups. These actions can also foster treatment innovations and reduce the burden of such disease in future generations.
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.
Integrity signals
Registry
Cites
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.
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
Roth, G. A., Abate, D., Abate, K. H., Abay, S. M., Abbafati, C., Abbasi, N., Abbastabar, H., Abd-Allah, F., Abdela, J., Abdelalim, A., et al. (2018) · The Lancet · doi:10.1016/s0140-6736(18)32203-7 · Cited by 8,600
Self-citationNaghavi, M., Abajobir, A. A., Abbafati, C., Abbas, K. M., Abd-Allah, F., Abera, S. F., Aboyans, V., Adetokunboh, O., Afshin, A., Agrawal, A., et al. (2017) · The Lancet · doi:10.1016/s0140-6736(17)32152-9 · Cited by 4,821
Kassebaum, N. J., Arora, M., Barber, R. M., Bhutta, Z. A., Brown, J., Carter, A., Casey, D. C., Charlson, F. J., Coates, M. M., Coggeshall, M., et al. (2016) · The Lancet · doi:10.1016/s0140-6736(16)31460-x · Cited by 2,163
Self-citationThe commercial determinants of health
Kickbusch, I., Allen, L., & Franz, C. (2016) · The Lancet Global Health · doi:10.1016/s2214-109x(16)30217-0 · Cited by 782
Cited by
Chronic kidney disease and the global public health agenda: an international consensus
Francis, A., Harhay, M. N., Ong, A. C. M., Tummalapalli, S. L., Ortiz, A., Fogo, A. B., Fliser, D., Roy-Chaudhury, P., Fontana, M., Nangaku, M., et al. (2024) · Nature Reviews Nephrology · doi:10.1038/s41581-024-00820-6 · Cited by 1,374
Single-Cell Profiling Reveals Sex, Lineage, and Regional Diversity in the Mouse Kidney
Ransick, A., Lindström, N. O., Liu, J., Zhu, Q., Guo, J.-J., Alvarado, G. F., Kim, A. D., Black, H. G., Kim, J., & McMahon, A. P. (2019) · Developmental Cell · doi:10.1016/j.devcel.2019.10.005 · Cited by 429
Agarwal, R., Anker, S. D., Bakris, G., Filippatos, G., Pitt, B., Rossing, P., Ruilope, L., Gebel, M., Kolkhof, P., Nowack, C., et al. (2022) · Nephrology Dialysis Transplantation · doi:10.1093/ndt/gfaa294 · Cited by 103
Short and dysfunctional telomeres sensitize the kidneys to develop fibrosis
Saraswati, S., Martínez, P., Graña-Castro, O., & Blasco, M. A. (2021) · Nature Aging · doi:10.1038/s43587-021-00040-8 · Cited by 28
PERDANA, M., & YEN, M. (2021) · Journal of Nursing Research · doi:10.1097/jnr.0000000000000457 · Cited by 18
Metadata
- Authors
- Luyckx, V. A., Tonelli, M., & Stanifer, J. W.
- Venue
- Bulletin of the World Health Organization
- Publisher
- WHO Press
- Published
- 2018-04-20
- Volume
- 96
- Issue
- 6
- Pages
- 414-422D
- ISSN
- 0042-9686 (ISSN-L)
- OpenAlex
- W2805564751
- Cited by
- 926
- References
- 4
- FWCI
- 66.10
- Type
- journal article
- Language
- en
- Open access
- diamond
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: The global burden of kidney disease and the sustainable development goals. https://app.cochat.ai/papers/10.2471/blt.17.206441
- The paper
- Luyckx, V. A., Tonelli, M., & Stanifer, J. W. (2018). The global burden of kidney disease and the sustainable development goals. Bulletin of the World Health Organization. https://doi.org/10.2471/blt.17.206441
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.