ArticleMedical anthropology quarterly2020
Multimorbidity, Polyiatrogenesis, and COVID-19.
Article in Medical anthropology quarterly, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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.
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.
Who cites it
5 citing papers in PubMed.
- Epidemiology, Symptomatology, and Risk Factors for Long COVID Symptoms: Population-Based, Multicenter Study.JMIR public health and surveillance · 2023Article
- Survival of COVID-19 with Multimorbidity Patients.Healthcare (Basel, Switzerland) · 2021Article
- Differential Impacts of Multimorbidity on COVID-19 Severity across the Socioeconomic Ladder in Hong Kong: A Syndemic Perspective.International journal of environmental research and public health · 2021Article
- Body Mass Index, Multi-Morbidity, and COVID-19 Risk Factors as Predictors of Severe COVID-19 Outcomes.Journal of primary care & community healthArticle
- Making morbidity multiple: History, legacies, and possibilities for global health.Journal of multimorbidity and comorbidityReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
To date, the strongest predictor for dying with COVID-19 is suffering from several chronic disorders prior to the viral infection. Pre-existing multimorbidity is highly correlated with socioeconomic inequality. In turn, having several chronic conditions is closely linked to multiple medication intake, especially in richer countries with good access to biomedical care. Owing to its vertical structure, biomedicine often risks giving multiple treatments in an uncoordinated way. Such lack of integrated care can create complex forms of iatrogenic harm. Multimorbidity is often exacerbated by a pharmaceuticalization of social deprivation in place of integrated care. In this article, I explore the possibility that clusters of over-medication are a contributing factor to higher death rates from COVID-19, especially in poorer areas within richer countries. Anthropological perspectives on the social embeddedness of multimorbidity and multiple medication use can expand our understanding of who is most vulnerable to SARS-CoV-2.
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Registered trials
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.