Evidence map›Paper›PMID 33939152›Full record

ArticleDigestive diseases and sciences2022

Gut Dysbiosis Associated with Antibiotics and Disease Severity and Its Relation to Mortality in Critically Ill Patients.

Masahiro Ojima, Kentaro Shimizu, Daisuke Motooka, Takuma Ishihara, Shota Nakamura, Ayumi Shintani, Hiroshi Ogura, Tetsuya Iida, Kazuhisa Yoshiya, Takeshi Shimazu

Open access · hybridAbstract read
In one paragraph

Article in Digestive diseases and sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 3 pooled it
3.0field-weighted citation impact, top 7% 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

40 citing papers in PubMed, 3 syntheses or guidelines pooled it, 55 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Review
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Host-Microbiome Interaction in the Intensive Care Unit.Diseases (Basel, Switzerland) · 2025
    Review
  17. Article
  18. Review
  19. Article
  20. Article
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

10 authors at 2 institutions in 1 country.

Masahiro OjimaDepartment of Traumatology and Acute Critical Medicine, Osaka University Graduate School of Medicine, Suita, Osaka, 565-0871, Japan. ojimarionet999@hp-emerg.med.osaka-u.ac.jp.ORCID 0000-0001-7490-1539
Kentaro ShimizuDepartment of Traumatology and Acute Critical Medicine, Osaka University Graduate School of Medicine, Suita, Osaka, 565-0871, Japan.
Daisuke MotookaDepartment of Infection Metagenomics, Research Institute for Microbial Diseases, Osaka University, Suita, Osaka, Japan.
Takuma IshiharaDepartment of Medical Statistics, Osaka City University Graduate School of Medicine, Osaka, Osaka, Japan.
Shota NakamuraDepartment of Infection Metagenomics, Research Institute for Microbial Diseases, Osaka University, Suita, Osaka, Japan.
Ayumi ShintaniDepartment of Medical Statistics, Osaka City University Graduate School of Medicine, Osaka, Osaka, Japan.
Hiroshi OguraDepartment of Traumatology and Acute Critical Medicine, Osaka University Graduate School of Medicine, Suita, Osaka, 565-0871, Japan.
Tetsuya IidaDepartment of Infection Metagenomics, Research Institute for Microbial Diseases, Osaka University, Suita, Osaka, Japan.
Kazuhisa YoshiyaDepartment of Traumatology and Acute Critical Medicine, Osaka University Graduate School of Medicine, Suita, Osaka, 565-0871, Japan.
Takeshi ShimazuDepartment of Traumatology and Acute Critical Medicine, Osaka University Graduate School of Medicine, Suita, Osaka, 565-0871, Japan.
The University of Osaka · JPOsaka City University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe gut microbiota are reported to be altered in critical illness. The pattern and impact of dysbiosis on prognosis has not been thoroughly investigated in the ICU setting.

aimsWe aimed to evaluate changes in the gut microbiota of ICU patients via 16S rRNA gene deep sequencing, assess the association of the changes with antibiotics use or disease severity, and explore the association of gut microbiota changes with ICU patient prognosis.

methodsSeventy-one mechanically ventilated patients were included. Fecal samples were collected serially on days 1-2, 3-4, 5-7, 8-14, and thereafter when suitable. Microorganisms of the fecal samples were profiled by 16S rRNA gene deep sequencing.

resultsProportions of the five major phyla in the feces were diverse in each patient at admission. Those of Bacteroidetes and Firmicutes especially converged and stabilized within the first week from admission with a reduction in α-diversity (p < 0.001). Significant differences occurred in the proportional change of Actinobacteria between the carbapenem and non-carbapenem groups (p = 0.030) and that of Actinobacteria according to initial SOFA score and changes in the SOFA score (p < 0.001). An imbalance in the ratio of Bacteroidetes to Firmicutes within seven days from admission was associated with higher mortality when the ratio was > 8 or < 1/8 (odds ratio: 5.54, 95% CI: 1.39-22.18, p = 0.015).

conclusionsBroad-spectrum antibiotics and disease severity may be associated with gut dysbiosis in the ICU. A progression of dysbiosis occurring in the gut of ICU patients might be associated with mortality.

Indexed as

Critical IllnessDysbiosisAnti-Bacterial AgentsBacillotaBacteroidetesFecesHumansRNA, Ribosomal, 16SSeverity of Illness IndexAnti-Bacterial AgentsRNA, Ribosomal, 16S16S rRNAAntibioticsCritical careDysbiosisGut microbiotaSequential organ failure assessment score

Identifiers

PMID33939152
PMCPMC8090918
OpenAlexW3159137710

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.