Evidence map›Paper›PMID 25019030›Full record

ReviewKidney international supplements2013

Optimizing the cost-effectiveness of treatment for chronic kidney disease-mineral and bone disorder.

Shunsuke Goto, Hirotaka Komaba, Masafumi Fukagawa, Shinichi Nishi

Open access · bronzeAbstract readReview
In one paragraph

Review in Kidney international supplements, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.7field-weighted citation impact, top 30% of its field
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

1 citing paper in PubMed, 10 citations in OpenAlex.

  1. Review
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

4 authors at 2 institutions in 1 country.

Shunsuke GotoDivision of Nephrology and Kidney Center, Kobe University Graduate School of Medicine , Kobe, Japan.
Hirotaka KomabaDivision of Nephrology, Endocrinology and Metabolism, Tokai University School of Medicine , Isehara, Japan.
Masafumi FukagawaDivision of Nephrology, Endocrinology and Metabolism, Tokai University School of Medicine , Isehara, Japan.
Shinichi NishiDivision of Nephrology and Kidney Center, Kobe University Graduate School of Medicine , Kobe, Japan.
Kobe University · JPTokai University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic kidney disease-mineral and bone disorder (CKD-MBD) is an important risk factor in patients with CKD, and some medications for treating CKD-MBD have been recently marketed. Because assessment of health-care cost-effectiveness is growing in importance with increases in health expenditures, several cost-effectiveness analyses for new medications such as sevelamer, lanthanum carbonate, cinacalcet hydrochloride, and paricalcitol have been conducted. The results of these analyses have stimulated discussion on the efficient use of these medications and, in some cases, have affected treatment recommendation. However, most of these studies had methodological problems, one of them being that the effectiveness of medications was estimated based on changes of surrogate parameters, such as vascular calcification or serum biochemistry values. Furthermore, even if cost-effectiveness analyses were based on a given clinical trial, the results might differ from country to country. To provide greater health benefits under limited health expenditures based on the results of cost-effectiveness analyses, it is necessary to confirm the effectiveness of medications through well-designed clinical trials having mortality as the primary end point. In addition, cost-effectiveness analyses need to be performed separately for each country.

Indexed as

CKD-MBDcost-effectiveness analysishyperphosphatemiasecondary hyperparathyroidism

Identifiers

PMID25019030
PMCPMC4089630
OpenAlexW2016543857

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.