Evidence map›Paper›PMID 30803270›Full record

ArticleFuture microbiology2019

Septic patients in the intensive care unit present different nasal microbiotas.

Xi-Lan Tan, Hai-Yue Liu, Jun Long, Zhaofang Jiang, Yuemei Luo, Xin Zhao, Shumin Cai, Xiaozhu Zhong, Zhongran Cen, Jin Su and 1 more

Registry-linked trialAbstract read
In one paragraph

Article in Future microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05143736 (Nasal and Gut Microbiota Combined Clinical Events Predicts the Prognosis of Patients With Sepsis), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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.

NCT05143736 unknown statusnot on this mapstarted 2022, after this paper: background citation

Nasal and Gut Microbiota Combined Clinical Events Predicts the Prognosis of Patients With Sepsis: a Prospective, Multicentered, Diagnostic Trial

TypeobservationalSponsorZhujiang HospitalRan2022 to 2025Enrolled300ConditionsSepsis, Septic ShockArmsgut and nasal microbiota detection
3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

11 authors.

Xi-Lan TanDepartment of Environmental Health, School of Public Health, Southern Medical University, Guangzhou, PR China.
Hai-Yue LiuState Key Laboratory of Organ Failure Research, Division of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, PR China.
Jun LongState Key Laboratory of Organ Failure Research, Division of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, PR China.
Zhaofang JiangState Key Laboratory of Organ Failure Research, Division of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, PR China.
Yuemei LuoDepartment of Environmental Health, School of Public Health, Southern Medical University, Guangzhou, PR China.
Xin ZhaoState Key Laboratory of Organ Failure Research, Division of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, PR China.
Shumin CaiDepartment of Intensive Care Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, PR China.
Xiaozhu ZhongDivision of Infection Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, PR China.
Zhongran CenDivision of Intensive Care Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, PR China.
Jin SuChronic Airways Diseases Laboratory, Department of Respiratory & Critical Care Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, PR China.
Hongwei ZhouDepartment of Environmental Health, School of Public Health, Southern Medical University, Guangzhou, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThe primary objective of this study was to evaluate correlations among mortality, intensive care unit (ICU) length of stay and airway microbiotas in septic patients. MATERIALS &

methodsA deep-sequencing analysis of the 16S rRNA gene V4 region was performed.

resultsThe nasal microbiota in septic patients was dominated by three nasal bacterial types (Corynebacterium, Staphylococcus and Acinetobacter). The Acinetobacter type was associated with the lowest diversity and longest length of stay (median: 9 days), and the Corynebacterium type was associated with the shortest length of stay. We found that the Acinetobacter type in the >9-day group was associated with the highest mortality (33%).

conclusionSeptic patients have three nasal microbiota types, and the nasal microbiota is related to the length of stay and mortality.

Indexed as

MicrobiotaAdultBacteriaDNA, BacterialFemaleHigh-Throughput Nucleotide SequencingHumansIntensive Care UnitsMaleMiddle AgedNoseRNA, Ribosomal, 16SSepsisYoung AdultDNA, BacterialRNA, Ribosomal, 16S16S rRNAbacterial typemicrobiomenosesepsis

Identifiers

PMID30803270
PMCPMC6479279

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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.