Evidence map›Paper›PMID 41646047›Full record

ArticleThe journal of climate change and health

Carbon footprints by stage of chronic kidney disease: The case of Japan.

Kei Nagai, Sho Hata, Norihiro Itsubo, Kunitoshi Iseki, Kunihiro Yamagata, Keisuke Nansai

Abstract read
In one paragraph

Article in The journal of climate change and health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–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

11 citing papers in PubMed.

  1. Article
  2. Review
  3. International Environmental Impact of CKD Care.Kidney international reports · 2026
    Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Life Cycle Assessment: A Primer for Kidney Professionals.Canadian journal of kidney health and disease · 2025
    Article
  10. Review
  11. 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

6 authors.

Kei NagaiDepartment of Nephrology, Hitachi General Hospital, 2-1-1 Jonan-cho, Hitachi, Ibaraki 317-0077, Japan.
Sho HataMaterial Cycles Division, National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba, Ibaraki 305-8506, Japan.
Norihiro ItsuboFaculty of Environmental and Information Studies, Tokyo City University, 3-3-1 Ushikubo-nishi, Tsuzuki-ku, Yokohama, Kanagawa 224-8551, Japan.
Kunitoshi IsekiClinical Research Support Center, Nakamura Clinic, 4-2-1 Iso, Urasoe, Okinawa 901-2132, Japan.
Kunihiro YamagataDepartment of Nephrology, Faculty of Medicine, University of Tsukuba, 1-1-1 Ten-nodai, Tsukuba, Ibaraki 305-8575, Japan.
Keisuke NansaiMaterial Cycles Division, National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba, Ibaraki 305-8506, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The nexus between carbon footprints and chronic kidney disease (CKD) progression have not been clarified, so it has not been possible to examine the prevention of disease severity as a potential countermeasure for decarbonization. Material and methods: The study included 70,627 subjects aged 40-74 years and diagnosed with CKD stage by specific health checkups in 2014-2015. Greenhouse gas (GHG) emissions in Japan were formulated with the 2015 environmental input-output model. The carbon footprints by CKD stage were calculated with annual treatment cost according to renal function indicators, namely estimated glomerular filtration rate (eGFR) and proteinuria. Results: The annual carbon footprint per patient with induction of dialysis due to CKD was estimated to be 3.9 tCO Conclusion: Effective interventional treatments to prevent disease severity in CKD contribute to both the health of the patient and the mitigation of GHG emissions.

Indexed as

Carbon footprintChronic kidney diseaseDialysis therapy

Identifiers

PMID41646047
PMCPMC12851201

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Registered trials

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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.