Evidence map›Paper›PMID 37250643›Full record

ArticleFrontiers in medicine2023

Prevalence and pattern of multimorbidity among chronic kidney disease patients: a community study in chronic kidney disease hotspot area of Eastern India.

Subrata Kumar Palo, Soumya Ranjan Nayak, Debadutta Sahoo, Swetalina Nayak, Ashis Kumar Mohapatra, Aviram Sahoo, Pujarini Dash, Sanghamitra Pati

Open access · goldAbstract read
In one paragraph

Article in Frontiers in medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

4 citing papers in PubMed, 10 citations in OpenAlex.

  1. The spatial analysis of multimorbidity in Thai Cohort Study.Archives of public health = Archives belges de sante publique · 2025
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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

8 authors at 1 institution in 1 country.

Subrata Kumar PaloModel Rural Health Research Unit, ICMR-RMRCBB, Cuttack, India.
Soumya Ranjan NayakModel Rural Health Research Unit, ICMR-RMRCBB, Cuttack, India.
Debadutta SahooModel Rural Health Research Unit, ICMR-RMRCBB, Cuttack, India.
Swetalina NayakModel Rural Health Research Unit, ICMR-RMRCBB, Cuttack, India.
Ashis Kumar MohapatraModel Rural Health Research Unit, ICMR-RMRCBB, Cuttack, India.
Aviram SahooModel Rural Health Research Unit, ICMR-RMRCBB, Cuttack, India.
Pujarini DashModel Rural Health Research Unit, ICMR-RMRCBB, Cuttack, India.
Sanghamitra PatiICMR-Regional Medical Research Centre, Bhubaneswar, India.
Regional Medical Research Centre · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Chronic kidney disease (CKD) is mostly asymptomatic until reaching an advanced stage. Although conditions such as hypertension and diabetes can cause it, CKD can itself lead to secondary hypertension and cardiovascular disease (CVD). Understanding the types and prevalence of associated chronic conditions among CKD patient could help improve screening for early detection and case management. Methods: A cross sectional study of 252 CKD patients in Cuttack, Odisha (from the last 4 years CKD data base) was telephonically carried out using a validated Multimorbidity Assessment Questionnaire for Primary Care (MAQ-PC) tool with the help of an android Open Data Kit (ODK). Univariate descriptive analysis was done to determine the socio-demographic distribution of CKD patients. A Cramer's heat map was generated for showing Cramer's coefficient value of association of each diseases. Results: The mean age of participants was 54.11 (±11.5) years and 83.7% were male. Among the participants, 92.9% had chronic conditions (24.2% with one, 26.2% with two and 42.5% with three or more chronic conditions). Most prevalent chronic conditions were hypertension (48.4%), peptic ulcer disease (29.4%), osteoarthritis (27.8%) and diabetes (13.1%). Hypertension and osteoarthritis were found to be most commonly associated (Cramer's V coefficient = 0.3). Conclusion: Increased vulnerability to chronic conditions among CKD patients make them at higher risk for mortality and compromised quality of life. Regular screening of CKD patient for other chronic conditions (hypertension, diabetes, peptic ulcer disease, osteoarthritis and heart diseases) would help in detecting them early and undertake prompt management. The existing national program could be leveraged to achieve this.

Indexed as

chronic conditionsCKDCramer’s coefficientGFRmultimorbidity

Identifiers

PMID37250643
PMCPMC10213441
OpenAlexW4378744931

What OpenQuestion holds

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LicenceCC BY
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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.