Evidence map›Paper›PMID 27123981›Full record

ArticlePloS one2016

The Impact of Normal Range of Serum Phosphorus on the Incidence of End-Stage Renal Disease by A Propensity Score Analysis.

Wen Xiu Chang, Ning Xu, Takanori Kumagai, Takeshi Shiraishi, Takahiro Kikuyama, Hiroki Omizo, Kazuhiro Sakai, Shigeyuki Arai, Yoshifuru Tamura, Tatsuru Ota and 4 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.7field-weighted citation impact, top 11% 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

19 citing papers in PubMed, 29 citations in OpenAlex.

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  7. Postdialysis serum phosphate equilibrium in hemodialysis patients on a controlled diet and no binders.Hemodialysis international. International Symposium on Home Hemodialysis · 2022
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  19. The role of phosphate in kidney disease.Nature reviews. Nephrology · 2017
    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

14 authors at 3 institutions in 2 countries.

Wen Xiu ChangDepartment of Nephrology, Tianjin First Central Hospital, Tianjin, China.
Ning XuDepartment of Nephrology, Tianjin First Central Hospital, Tianjin, China.
Takanori KumagaiSupport for Community Medicine Endowed Chair, Teikyo University School of Medicine, Tokyo, Japan.
Takeshi ShiraishiSupport for Community Medicine Endowed Chair, Teikyo University School of Medicine, Tokyo, Japan.
Takahiro KikuyamaDepartment of Internal Medicine, Teikyo University School of Medicine, Tokyo, Japan.
Hiroki OmizoDepartment of Internal Medicine, Teikyo University School of Medicine, Tokyo, Japan.
Kazuhiro SakaiDepartment of Internal Medicine, Teikyo University School of Medicine, Tokyo, Japan.
Shigeyuki AraiDepartment of Internal Medicine, Teikyo University School of Medicine, Tokyo, Japan.
Yoshifuru TamuraDepartment of Internal Medicine, Teikyo University School of Medicine, Tokyo, Japan.
Tatsuru OtaDepartment of Internal Medicine, Teikyo University School of Medicine, Tokyo, Japan.
Shigeru ShibataDepartment of Internal Medicine, Teikyo University School of Medicine, Tokyo, Japan.
Yoshihide FujigakiDepartment of Internal Medicine, Teikyo University School of Medicine, Tokyo, Japan.
Zhong Yang ShenDepartment of Organ Transplantation, Tianjin First Central Hospital, Tianjin, China.
Shunya UchidaDepartment of Internal Medicine, Teikyo University School of Medicine, Tokyo, Japan.
Teikyo University · JPTianjin First Center Hospital · CNTianjin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough hyperphosphatemia is deemed a risk factor of the progression of chronic kidney disease (CKD), it remains unclear whether the normal range of serum phosphorus likewise deteriorates CKD. A propensity score analysis was applied to examine the causal effect of the normal range of serum phosphorus on the incidence of end-stage renal disease (ESRD).

methodsA retrospective CKD cohort of 803 participants in a single institution was analyzed. Propensity score was estimated using 22 baseline covariates by multivariate binary logistic regression for the different thresholds of time-averaged phosphorus (TA-P) in the normal range of serum phosphorus incremented by 0.1 mg/dL from 3.3 to 4.5 mg/dL.

resultsThe incidence rate of ESRD was 33.9 per 1,000 person-years over median follow-up of 4.3 years. Total patients showed the mean baseline phosphorus of 3.37 mg/dL and were divided to quartile. The higher quartile was associated with the parameters consistent with the advancement of CKD. A stratified Cox regression showed the highest hazard ratio (HR) at TA-P 3.4 mg/dL (HR 17.60, 95% CI 3.92-78.98) adjusted for baseline covariates such as sex, age, diabetic nephropathy, estimated GFR, serum albumin, Na-Cl, phosphorus, LDL-C and proteinuria. Adjusted HRs remained high up to TA-P 4.2 mg/dL (HR 2.22, 95% CI 1.33-3.71). After propensity score matching conducted at the thresholds of TA-P 3.4, 3.6, 3.8 and 4.0 mg/dL, the higher levels of TA-P showed the higher HRs by Kaplan-Meier analysis (p < 0.05 by stratified log-rank test). The numbers needed to treat were calculated as 3.9 to 5.3 over 5 years.

conclusionsThe propensity score analysis shows that even the normal range of serum phosphorus clearly accelerates CKD progression to ESRD. Our results encourage clinicians to target serum phosphorus to inhibit CKD progression in the manner of 'the lower the better.'

Indexed as

AgedFemaleHumansIncidenceKidney Failure, ChronicLogistic ModelsMaleMiddle AgedPhosphorusPropensity ScoreRetrospective StudiesRisk FactorsPhosphorus

Identifiers

PMID27123981
PMCPMC4849666
OpenAlexW2343191417

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.