Evidence map›Paper›PMID 27295981›Full record

ArticleBMC nephrology2016

Forecast of the incidence, prevalence and burden of end-stage renal disease in Nanjing, China to the Year 2025.

Ling Sun, Lu-Xi Zou, Yu-Chen Han, Han-Ming Huang, Zhao-Ming Tan, Min Gao, Kun-Ling Ma, Hong Liu, Bi-Cheng Liu

Abstract read
In one paragraph

Article in BMC nephrology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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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

9 authors.

Ling SunDepartment of Nephrology, the Affiliated Xuzhou Hospital of Medical College of Southeast University, No.199, Jiefang South Road, Xuzhou, 221009, Jiangsu, China.
Lu-Xi ZouDepartment of Information Management, the Affiliated Xuzhou Hospital of Medical College of Southeast University, No.199, Jiefang South Road, Xuzhou, 221009, Jiangsu, China.
Yu-Chen HanInstitute of Nephrology, Zhongda Hospital, Southeast University, No. 87, Ding Jia Qiao Road, Nanjing, 210009, Jiangsu, China.
Han-Ming HuangNanjing Municipal Human Resources and Social Security Bureau, Nanjing, China.
Zhao-Ming TanNanjing Municipal Human Resources and Social Security Bureau, Nanjing, China.
Min GaoInstitute of Nephrology, Zhongda Hospital, Southeast University, No. 87, Ding Jia Qiao Road, Nanjing, 210009, Jiangsu, China.
Kun-Ling MaInstitute of Nephrology, Zhongda Hospital, Southeast University, No. 87, Ding Jia Qiao Road, Nanjing, 210009, Jiangsu, China.
Hong LiuInstitute of Nephrology, Zhongda Hospital, Southeast University, No. 87, Ding Jia Qiao Road, Nanjing, 210009, Jiangsu, China.
Bi-Cheng LiuInstitute of Nephrology, Zhongda Hospital, Southeast University, No. 87, Ding Jia Qiao Road, Nanjing, 210009, Jiangsu, China. liubc64@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere are limited data on the trends of incidence or prevalence of end stage renal disease (ESRD) in China. To assist in future planning for the ESRD program, the trends of incidence, prevalence and health care costs were analyzed and forecasted to the year 2025 by modeling of historical data from 2004 through 2014.

methodsNanjing urban employee basic medical insurance (NJUEBMI) data were obtained from the Nanjing Medical Insurance Information System from 2004 to 2014. The time series forecasting system in SAS 9.4 was used. Each variable was independently forecasted by the fittest model, which was selected automatically or manually.

resultsThe forecasting models demonstrated mean percent errors of -2.49 to 5.62 %, relative to the observed values. The R-square values for the forecasting models ranged from 0.756 to 0.997. On the basis of trends in the historical data, the models projected that the average annual increase in the NJUEBMI population was 4.77 %, with forecasted values of 5,029,270 in 2025 (95 % CI, 4,960,423-5,098,117). The incidence and prevalence of ESRD were projected to increase by 1.19 and 1.95 % annually and were expected to reach 250.5 pmp (95 % CI, 247.7-253.3) and 1505 pmp(95 % CI, 1450-1560) by 2025. Additionally, the costs associated with ESRD were forecasted to increase at a growth rate of 5.80 % for healthcare costs and 7.25‰ for per capita medical expenses, with forecasted values of ¥600.3 million ($92.4 million) (95 % CI, 541.8-658.9) and ¥99.0 thousand ($15.2 thousand) (95 % CI, 98.6-99.3), respectively, by 2025. The incidence and prevalence of kidney transplantation were projected to decrease by 6.58 and 9.79 % annually.

conclusionsThese projections suggest that the incidence, prevalence, healthcare costs, and per capita medical expenses of ESRD would increase in the NJUEBMI population. They provide a basis for discussing the trends of ESRD in China and facing the challenges from the ESRD program.

Indexed as

Cost of IllnessChinaForecastingHealth Benefit Plans, EmployeeHealth Care CostsHumansIncidenceKidney Failure, ChronicPrevalenceEnd stage renal diseaseForecastHealth care costsIncidenceMedical insurancePrevalence

Identifiers

PMID27295981
PMCPMC4906971

What OpenQuestion holds

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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.