Evidence map›Paper›PMID 30671046›Full record

ArticleFrontiers in microbiology2018

A Comparison of Homogenization vs. Enzymatic Lysis for Microbiome Profiling in Clinical Endoscopic Biopsy Tissue Samples.

Chao Zhang, Prashant V Thakkar, Sarah Ellen Powell, Prateek Sharma, Sreekar Vennelaganti, Doron Betel, Manish A Shah

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.9field-weighted citation impact, top 28% 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

8 citing papers in PubMed, 17 citations in OpenAlex.

  1. Trial
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  6. Low-Abundant Microorganisms: The Human Microbiome's Dark Matter, a Scoping Review.Frontiers in cellular and infection microbiology · 2021
    Article
  7. Review of current diagnostic methods and advances inWorld journal of gastroenterology · 2019
    Review
  8. 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

7 authors at 3 institutions in 1 country.

Chao ZhangInstitute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, United States.
Prashant V ThakkarDivision of Hematology and Medical Oncology, Department of Medicine, Weill Cornell Medicine, New York, NY, United States.
Sarah Ellen PowellDivision of Hematology and Medical Oncology, Department of Medicine, Weill Cornell Medicine, New York, NY, United States.
Prateek SharmaVeterans Affairs Medical Center and University of Kansas School of Medicine, Kansas City, MO, United States.
Sreekar VennelagantiVeterans Affairs Medical Center and University of Kansas School of Medicine, Kansas City, MO, United States.
Doron BetelInstitute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, United States.
Manish A ShahDivision of Hematology and Medical Oncology, Department of Medicine, Weill Cornell Medicine, New York, NY, United States.
Weill Cornell Medicine · USUniversity of Kansas · USCornell University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Identification of the human microbiome has proven to be of utmost importance with the emerging role of bacteria in various physiological and pathological processes. High throughput sequencing strategies have evolved to assess the composition of the microbiome. To identify possible bias that may exist in the processing of tissue for whole genome sequencing (WGS), it is important to evaluate the extraction method on the overall microbial content and composition. Here we compare two different methods of extraction, homogenization vs. enzymatic lysis, on gastric, esophageal and colorectal biopsies and survey the microbial content and composition using WGS and quantitative PCR (qPCR). We examined total bacterial content using universal 16S rDNA qPCR as well as the abundance of three phyla (

Indexed as

clinical biopsyDNA extractiongastrointestinal tractmetagenomicsmicrobiomequantitative PCRwhole genome sequencing

Identifiers

PMID30671046
PMCPMC6331478
OpenAlexW2909044009

What OpenQuestion holds

Textmetadata
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.