Evidence map›Paper›PMID 37793361›Full record

ArticleNephron2024

Regional Variation in the Use of Percutaneous Kidney Biopsy in Japan.

Yasuhiro Oda, Hiroshi Nishi, Masaomi Nangaku

Abstract read
In one paragraph

Article in Nephron, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

3 authors.

Yasuhiro OdaDivision of Nephrology and Endocrinology, The University of Tokyo Graduate School of Medicine, Tokyo, Japan, yasuhirooda3@gmail.com.
Hiroshi NishiDivision of Nephrology and Endocrinology, The University of Tokyo Graduate School of Medicine, Tokyo, Japan.
Masaomi NangakuDivision of Nephrology and Endocrinology, The University of Tokyo Graduate School of Medicine, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe regional variation in the use of percutaneous kidney biopsy in Japan remains unknown. There are several large datasets of kidney biopsies in Japan, but an exhaustive survey of kidney biopsies is lacking.

methodsWe analyzed insurance claims for percutaneous kidney biopsies registered in the National Database of Health Insurance Claims and Specific Health Checkups of Japan, which is the closest to a complete dataset of kidney biopsies performed in Japan. In combination with other nationwide survey results, the number of inpatient percutaneous kidney biopsies per population in each prefecture was calculated. Factors associated with the frequency of percutaneous kidney biopsies were also explored.

resultsThe database contained 22,419 health insurance claims for percutaneous kidney biopsy in the fiscal year 2020. The frequency of inpatient percutaneous kidney biopsies could be up to 4.8 times as frequent in one prefecture than in another, even after adjusting for age and sex. The frequency of inpatient percutaneous kidney biopsies showed a positive correlation with the number of annual kidney transplants and patients on peritoneal dialysis per population and a weak negative correlation with the prevalence of reduced kidney function in the population aged 40-74 years.

conclusionWe found a large regional variation in the frequency of inpatient percutaneous kidney biopsies. Kidney transplants and peritoneal dialysis might be offered more frequently in regions with a higher frequency of kidney biopsy. This is the first dataset that shows more than 20,000 kidney biopsies were performed per year in Japan, as of 2020.

Indexed as

KidneyAdultAgedBiopsyFemaleHumansJapanMaleMiddle AgedEpidemiologyKidney replacement therapyKidney transplantationNDB Open Data JapanPeritoneal dialysis

Identifiers

PMID37793361
PMCPMC11151969

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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.