Evidence map›Paper›PMID 28894183›Full record

ArticleScientific reports2017

Gut microbiota composition is associated with polypharmacy in elderly hospitalized patients.

Andrea Ticinesi, Christian Milani, Fulvio Lauretani, Antonio Nouvenne, Leonardo Mancabelli, Gabriele Andrea Lugli, Francesca Turroni, Sabrina Duranti, Marta Mangifesta, Alice Viappiani and 4 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 115 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
115citing papers in PubMed, 4 pooled it
8.7field-weighted citation impact, top 2% 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

115 citing papers in PubMed, 4 syntheses or guidelines pooled it, 200 citations in OpenAlex.

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  3. WORKbiota: A Systematic Review about the Effects of Occupational Exposure on Microbiota and Workers' Health.International journal of environmental research and public health · 2022
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55 more citing papers are in PubMed but not listed here.

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

14 authors at 1 institution in 1 country.

Andrea TicinesiDepartment of Medicine and Surgery, University of Parma, Parma, Italy. andrea.ticinesi@unipr.it.ORCID 0000-0001-9171-8592
Christian MilaniLaboratory of Probiogenomics, Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parma, Italy.ORCID 0000-0002-5062-3164
Fulvio LauretaniDepartment of Medicine and Surgery, University of Parma, Parma, Italy.
Antonio NouvenneDepartment of Medicine and Surgery, University of Parma, Parma, Italy.ORCID 0000-0002-2680-2242
Leonardo MancabelliLaboratory of Probiogenomics, Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parma, Italy.
Gabriele Andrea LugliLaboratory of Probiogenomics, Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parma, Italy.
Francesca TurroniLaboratory of Probiogenomics, Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parma, Italy.
Sabrina DurantiLaboratory of Probiogenomics, Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parma, Italy.
Marta MangifestaLaboratory of Probiogenomics, Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parma, Italy.
Alice ViappianiGenProbio S.r.l., Parma, Italy.
Chiara FerrarioLaboratory of Probiogenomics, Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parma, Italy.
Marcello MaggioDepartment of Medicine and Surgery, University of Parma, Parma, Italy.
Marco VenturaLaboratory of Probiogenomics, Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parma, Italy.
Tiziana MeschiDepartment of Medicine and Surgery, University of Parma, Parma, Italy.
University of Parma · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reduced biodiversity and increased representation of opportunistic pathogens are typical features of gut microbiota composition in aging. Few studies have investigated their correlation with polypharmacy, multimorbidity and frailty. To assess it, we analyzed the fecal microbiota from 76 inpatients, aged 83 ± 8. Microbiome biodiversity (Chao1 index) and relative abundance of individual bacterial taxa were determined by next-generation 16S rRNA microbial profiling. Their correlation with number of drugs, and indexes of multimorbidity and frailty were verified using multivariate linear regression models. The impact of gut microbiota biodiversity on mortality, rehospitalizations and incident sepsis was also assessed after a 2-year follow-up, using Cox regression analysis. We found a significant negative correlation between the number of drugs and Chao1 Index at multivariate analysis. The number of drugs was associated with the average relative abundance of 15 taxa. The drug classes exhibiting the strongest association with single taxa abundance were proton pump inhibitors, antidepressants and antipsychotics. Conversely, frailty and multimorbidity were not significantly associated with gut microbiota biodiversity. Very low Chao1 index was also a significant predictor of mortality, but not of rehospitalizations and sepsis, at follow-up. In aging, polypharmacy may thus represent a determinant of gut microbiota composition, with detrimental clinical consequences.

Indexed as

HospitalizationPolypharmacyAgedAged, 80 and overBiodiversityBiological Variation, PopulationComorbidityFemaleGastrointestinal MicrobiomeHumansMaleMetagenomeMetagenomicsPatient Outcome AssessmentPhenotypeRNA, Ribosomal, 16SRNA, Ribosomal, 16S

Identifiers

PMID28894183
PMCPMC5593887
OpenAlexW2753822230

What OpenQuestion holds

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LicenceCC BY
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.