Evidence map›Paper›PMID 32509666›Full record

ArticleJournal of family medicine and primary care2020

Interplay of multimorbidity and polypharmacy on a community dwelling frail elderly cohort in the peri-urban slums of Delhi, India.

Meely Panda, Rambha Pathak, Farzana Islam, Rashmi Agarwalla, Vishal Singh, Farishta Singh

Abstract read
In one paragraph

Article in Journal of family medicine and primary care, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
–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, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Observational
  4. Frailty: An overview.Journal of family medicine and primary care · 2026
    Review
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  6. Review
  7. Article
  8. Article
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  11. Article
  12. Article
  13. Review
  14. Frailty and its Associated Factors Among Rural Community-Dwelling Older Adults: A Cross-Sectional Study.Inquiry : a journal of medical care organization, provision and financing
    Article
  15. 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

6 authors.

Meely PandaAsst. Prof, Department of Community Medicine, Hamdard Institute of Medical Sciences and Research, Jamia Hamdard, New Delhi, India.
Rambha PathakProfessor, Department of Community Medicine, Hamdard Institute of Medical Sciences and Research, Jamia Hamdard, New Delhi, India.
Farzana IslamAssociate Prof, Department of Community Medicine, Hamdard Institute of Medical Sciences and Research, Jamia Hamdard, New Delhi, India.
Rashmi AgarwallaAsst. Prof, Department of Community Medicine, Hamdard Institute of Medical Sciences and Research, Jamia Hamdard, New Delhi, India.
Vishal SinghResidents, Department of Community Medicine, Hamdard Institute of Medical Sciences and Research, Jamia Hamdard, New Delhi, India.
Farishta SinghResidents, Department of Community Medicine, Hamdard Institute of Medical Sciences and Research, Jamia Hamdard, New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The United Nations Population Fund suggests that the number of elderly persons is expected to grow to 173 million by 2026. The aging phase is further made adverse by conditions such as failty, multimorbidity and polypharmacy.

aimTo assess the status and associates of frailty among elderly (>60 years) residing in a peri-urban slum area in Delhi by using the EDMONSTON Frail scale and evaluate the interplay of multimorbidity (MM) and polypharmacy (PP) on the frail pre-frail spectrum of the community-dwelling elderly cohort.

methodA community study from Dec 2018 till July 2019 with a sample size of 300 participants who were willing and consented to the study. Frailty was assessed and the STOP criteria was used for PP assessment.

resultThere were 76 frail, 51 pre-frail, and 173 non-frail elderly. A higher prevalence (51%) of multimorbidity among the pre-frails and a higher probability (74%) of polypharmacy among the frails were found. Of the total in the frail-prefrail spectrum (127), 29.1% had multimorbidity (MM) and 39.4% had polypharmacy (PP). MM and PP were significantly higher among the old. Factors such as sex, marriage, loneliness, social circle, and education also had a positive bearing on the frailty-prefrailty spectrum. The working group had an increased (86%) probability of PP with statistical significance. Regression analysis depicted significant increased odds of MM and PP among female, illiterate, very old, lone, and single subjects. DISCUSSION AND

conclusionThus, we recommend earlier and timely intervention for the frail-prefrail which can revert their adversities.

Indexed as

Elderlyfrailtymultimorbiditypolypharmacy

Identifiers

PMID32509666
PMCPMC7266258

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LicenceCC BY-NC-SA
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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.