Evidence map›Paper›PMID 34754439›Full record

ArticleClinical kidney journal2021

Influence of doctors' perception on the diagnostic status of chronic kidney disease: results from 976 409 individuals with electronic health records in China.

Huai-Yu Wang, Guo-Hui Ding, Hongbo Lin, Xiaoyu Sun, Chao Yang, Suyuan Peng, Jinwei Wang, Jian Du, Yu Zhao, Zhengyue Chen and 3 more

Open access · goldAbstract read
In one paragraph

Article in Clinical kidney journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

13 citing papers in PubMed, 16 citations in OpenAlex.

  1. Trial
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  11. Chronic kidney disease as cardiovascular risk factor in routine clinical practice: a position statement by the Council of the European Renal Association.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2023
    Article
  12. Review
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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

13 authors at 4 institutions in 1 country.

Huai-Yu WangNational Institute of Health Data Science at Peking University, Beijing, PR China.ORCID https://orcid.org/0000-0002-9093-8793
Guo-Hui DingNational Institute of Health Data Science at Peking University, Beijing, PR China.
Hongbo LinYinzhou District Center for Disease Control and Prevention, Ningbo, PR China.
Xiaoyu SunNational Institute of Health Data Science at Peking University, Beijing, PR China.
Chao YangDepartment of Medicine, Renal Division, Peking University First Hospital, Peking University Institute of Nephrology, Beijing, PR China.
Suyuan PengNational Institute of Health Data Science at Peking University, Beijing, PR China.
Jinwei WangDepartment of Medicine, Renal Division, Peking University First Hospital, Peking University Institute of Nephrology, Beijing, PR China.ORCID https://orcid.org/0000-0003-0128-8408
Jian DuNational Institute of Health Data Science at Peking University, Beijing, PR China.
Yu ZhaoNingbo Yinzhou No. 2 Hospital, Ningbo Urology & Nephrology Hospital, Ningbo, PR China.
Zhengyue ChenNingbo Yinzhou No. 2 Hospital, Ningbo Urology & Nephrology Hospital, Ningbo, PR China.
Beiyan BaoNingbo Yinzhou No. 2 Hospital, Ningbo Urology & Nephrology Hospital, Ningbo, PR China.
Guilan KongNational Institute of Health Data Science at Peking University, Beijing, PR China.
Luxia ZhangNational Institute of Health Data Science at Peking University, Beijing, PR China.
Peking University · CNNingbo No. 2 Hospital · CNNingbo Center for Disease Control and Prevention · CNShenyang Aerospace University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe diagnostic status of chronic kidney disease (CKD) and its underlying reasons provide evidence that can improve CKD management. However, the situation in developing countries remains under-investigated.

methodsAdults with electronic health records (EHRs; 2008-19) in Yinzhou, China were included. The gold standard for CKD was defined as having persistently reduced estimated glomerular filtration rate (eGFR), albuminuria/proteinuria, haematuria or a history of CKD. CKD stages (G1-G5) were defined by eGFR. Clinical diagnosis of CKD in the real world setting was evaluated using International Classification of Diseases (ICD)-10 codes related to primary cause or stages of CKD. The specialty of doctors who administered the serum creatinine (SCr) tests and who made the primary-cause/CKD-staging diagnoses was analysed. The accuracy of CKD-staging codes was assessed.

resultsAltogether, 85 519 CKD patients were identified from 976 409 individuals with EHRs. Of them, 10 287 (12.0%) having persistent urinary abnormalities or labelled with CKD-related ICD codes did not receive SCr tests within 12 months before or after the urine tests. Among 75 147 patients who received SCr tests, 46 150 (61.4%) missed any CKD-related codes, 6857 (35.7%) were merely labelled with primary-cause codes, and only 2140 (2.9%) were labelled with CKD-staging codes. The majority of CKD patients (51.6-91.1%) received SCr tests from non-nephrologists, whereas CKD-staging diagnoses were mainly from nephrologists (52.3-64.8%). Only 3 of 42 general hospitals had nephrologists. The CKD-staging codes had high specificity (>99.0%) but low sensitivity (G3-G4: <10.0%).

conclusionsUnder-perception of CKD among doctors, rather than unsatisfactory health-seeking behaviour or low detection rates, was the main cause of under-diagnosis of CKD in China. Intensification of CKD education among doctors with different specialties might bring about immediate effective improvement in the diagnosis and awareness of CKD.

Indexed as

chronic kidney diseasediagnostic statusdoctors’ perceptionelectronic health recordICD-10 code

Identifiers

PMID34754439
PMCPMC8573015
OpenAlexW3163856981

What OpenQuestion holds

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LicenceCC BY-NC
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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.