Evidence map›Paper›PMID 35027417›Full record

ArticleBMJ open2022

Healthcare resource utilisation for chronic kidney disease and other major non-communicable chronic diseases in China: a cross-sectional study.

Chao Yang, Jianyan Long, Ying Shi, Zhiye Zhou, Jinwei Wang, Ming-Hui Zhao, Haibo Wang, Luxia Zhang, Josef Coresh

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
3.7field-weighted citation impact, top 7% 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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Research Progress of Pyroptosis in Renal Diseases.Current medicinal chemistry · 2024
    Review
  6. Article
  7. 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

9 authors at 4 institutions in 2 countries.

Chao YangRenal Division, Department of Medicine, Peking University First Hospital, Peking University Institute of Nephrology, Beijing, People's Republic of China.ORCID 0000-0001-9682-8395
Jianyan LongClinical Trial Unit, First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, People's Republic of China.
Ying ShiChina Standard Medical Information Research Center, Shenzhen, People's Republic of China.
Zhiye ZhouChina Standard Medical Information Research Center, Shenzhen, People's Republic of China.
Jinwei WangRenal Division, Department of Medicine, Peking University First Hospital, Peking University Institute of Nephrology, Beijing, People's Republic of China.ORCID 0000-0003-0128-8408
Ming-Hui ZhaoRenal Division, Department of Medicine, Peking University First Hospital, Peking University Institute of Nephrology, Beijing, People's Republic of China.
Haibo WangClinical Trial Unit, First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, People's Republic of China zhanglx@bjmu.edu.cn haibo@mail.harvard.edu.
Luxia ZhangRenal Division, Department of Medicine, Peking University First Hospital, Peking University Institute of Nephrology, Beijing, People's Republic of China zhanglx@bjmu.edu.cn haibo@mail.harvard.edu.
Josef CoreshDepartment of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.
Chinese Academy of Medical Sciences & Peking Union Medical College · CNSun Yat-sen University · CNJohns Hopkins University · USPeking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the healthcare resource utilisation for chronic kidney disease (CKD) and other major non-communicable chronic diseases (NCDs) in China.

designA cross-sectional study.

settingA national inpatient database of tertiary hospitals in China.

participantsThe study included a total of 19.5 million hospitalisations of adult patients from July 2013 to June 2014. Information on CKD and other major NCDs, including coronary heart disease (CHD), stroke, hypertension, diabetes, chronic obstructive pulmonary disease (COPD) and cancer, was extracted from the unified discharge summary form. OUTCOME MEASURES: Cost, length of hospital stay and in-hospital mortality.

resultsThe percentages of hospitalisations with CKD, CHD, stroke, hypertension, diabetes, COPD and cancer were 4.5%, 9.2%, 8.2%, 18.8%, 7.9%, 2.3% and 19.4%, respectively. For each major NCD, the presence of CKD was independently associated with longer hospital stay, with increased percentages ranging from 7.69% (95% CI 7.11% to 8.28%) for stroke to 21.60% (95% CI 21.09% to 22.10%) for CHD. Hospital mortality for other NCDs was also higher in the presence of CKD, with fully adjusted relative risk ranging from 1.91 (95% CI 1.82 to 1.99) for stroke to 2.65 (95% CI 2.55 to 2.75) for cancer. Compared with other NCDs, CKD was associated with the longest hospital stay (22.1% increase) and resulted in the second highest in-hospital mortality, only lower than that of cancer (relative risk, 2.23 vs 2.87, respectively).

conclusionsThe presence of diagnosed CKD alongside each major NCD was associated with an additional burden on the healthcare system. Healthcare resource utilisation and prognosis of CKD were comparable with those of other major NCDs, which highlights the importance of CKD as a major public health burden.

Indexed as

Noncommunicable DiseasesRenal Insufficiency, ChronicAdultCross-Sectional StudiesHumansPatient Acceptance of Health CareRisk Factorschronic renal failureepidemiologypublic health

Identifiers

PMID35027417
PMCPMC8762138
OpenAlexW4206672628

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.