Evidence map›Paper›PMID 33937092›Full record

ArticleFrontiers in cellular and infection microbiology2021

Stool Banking for Fecal Microbiota Transplantation: Methods and Operations at a Large Stool Bank.

Justin Chen, Amanda Zaman, Bharat Ramakrishna, Scott W Olesen

Abstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

36 citing papers in PubMed.

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  16. Microbiota-Based Live Biotherapeutic Products forInfection and drug resistance · 2024
    Review
  17. Microbiota restoration therapies for recurrentTherapeutic advances in gastroenterology · 2024
    Review
  18. Prolonged storage reduces viability ofFrontiers in microbiology · 2024
    Article
  19. Assuring safety of fecal microbiota transplantation in the COVID-19 era: A single-center experience.JGH open : an open access journal of gastroenterology and hepatology · 2023
    Article
  20. Review
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

4 authors.

Justin ChenOpenBiome, Cambridge, MA, United States.
Amanda ZamanOpenBiome, Cambridge, MA, United States.
Bharat RamakrishnaOpenBiome, Cambridge, MA, United States.
Scott W OlesenOpenBiome, Cambridge, MA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Fecal microbiota transplantation (FMT) is a recommended therapy for recurrent Methods: To help inform consensus standards with data gathered from real-world settings and, in turn, to improve patient care, here we describe the general methodology used in 2018 by OpenBiome, a large stool bank, and its outputs in that year. Results: In 2018, the stool bank received 7,536 stool donations from 210 donors, a daily average of 20.6 donations, and processed 4,271 of those donations into FMT preparations. The median time a screened and enrolled stool donor actively donated stool was 5.8 months. The median time between the manufacture of an FMT preparation and its shipment to a hospital or physician was 8.9 months. Half of the stool bank's partner hospitals and physicians ordered an average of 0.75 or fewer FMT preparations per month. Conclusions: Further knowledge sharing should help inform refinements of stool banking guidelines and best practices.

Indexed as

Clostridium InfectionsFecal Microbiota TransplantationDonor SelectionFecesHumansTissue DonorsClostridioides (Clostridium) difficile infectionfecal microbiota transplantationmicrobiomestool banksstool donor screening

Identifiers

PMID33937092
PMCPMC8082449

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.