Evidence map›Paper›PMID 38046820›Full record

ReviewMicrobiome research reports2023

Gut microbiota resilience and recovery after anticancer chemotherapy.

Sara Roggiani, Mariachiara Mengoli, Gabriele Conti, Marco Fabbrini, Patrizia Brigidi, Monica Barone, Federica D'Amico, Silvia Turroni

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Microbiome research reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
–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

23 citing papers in PubMed.

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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.

Sara RoggianiMicrobiomics Unit, Department of Medical and Surgical Sciences, University of Bologna, Bologna 40138, Italy.
Mariachiara MengoliMicrobiomics Unit, Department of Medical and Surgical Sciences, University of Bologna, Bologna 40138, Italy.
Gabriele ContiMicrobiomics Unit, Department of Medical and Surgical Sciences, University of Bologna, Bologna 40138, Italy.
Marco FabbriniMicrobiomics Unit, Department of Medical and Surgical Sciences, University of Bologna, Bologna 40138, Italy.
Patrizia BrigidiMicrobiomics Unit, Department of Medical and Surgical Sciences, University of Bologna, Bologna 40138, Italy.
Monica BaroneMicrobiomics Unit, Department of Medical and Surgical Sciences, University of Bologna, Bologna 40138, Italy.
Federica D'AmicoMicrobiomics Unit, Department of Medical and Surgical Sciences, University of Bologna, Bologna 40138, Italy.
Silvia TurroniUnit of Microbiome Science and Biotechnology, Department of Pharmacy and Biotechnology, University of Bologna, Bologna 40126, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although research on the role of the gut microbiota (GM) in human health has sharply increased in recent years, what a "healthy" gut microbiota is and how it responds to major stressors is still difficult to establish. In particular, anticancer chemotherapy is known to have a drastic impact on the microbiota structure, potentially hampering its recovery with serious long-term consequences for patients' health. However, the distinguishing features of gut microbiota recovery and non-recovery processes are not yet known. In this narrative review, we first investigated how gut microbiota layouts are affected by anticancer chemotherapy and identified potential gut microbial recovery signatures. Then, we discussed microbiome-based intervention strategies aimed at promoting resilience,

Indexed as

cancerchemotherapyfecal microbiota transplantationGut microbiotaprebioticsprobioticsrecoveryresilience

Identifiers

PMID38046820
PMCPMC10688789

What OpenQuestion holds

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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.