Evidence map›Paper›PMID 31748319›Full record

ArticleJournal of clinical microbiology2020

Blood-Modified Carbapenem Inactivation Method: a Phenotypic Method for Detecting Carbapenemase-Producing

M M Sfeir, M J Satlin, K A Fauntleroy, S G Jenkins, L F Westblade

Open access · greenAbstract read
In one paragraph

Article in Journal of clinical microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.4field-weighted citation impact, top 46% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Tracking the Outbreak of Carbapenem-ResistantInfection and drug resistance · 2022
    Article
  4. Review
  5. Article
  6. Hindsight Is 2019-the Year in Clinical Microbiology.Clinical microbiology newsletter · 2020
    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

5 authors at 3 institutions in 1 country.

M M SfeirDivision of Infectious Diseases, Department of Medicine, Weill Cornell Medicine, New York, New York, USA.
M J SatlinDivision of Infectious Diseases, Department of Medicine, Weill Cornell Medicine, New York, New York, USA.
K A FauntleroyNewYork-Presbyterian Hospital-Weill Cornell Medical Center, New York, New York, USA.
S G JenkinsDivision of Infectious Diseases, Department of Medicine, Weill Cornell Medicine, New York, New York, USA.
L F WestbladeDivision of Infectious Diseases, Department of Medicine, Weill Cornell Medicine, New York, New York, USA law9067@med.cornell.edu.
Cornell University · USWeill Cornell Medicine · USNew York Hospital Queens · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A variant of the modified carbapenem inactivation method (mCIM) was developed to detect carbapenemase activity directly from positive blood culture broths. The method, termed "Blood-mCIM," was evaluated using Bactec blood culture bottles (Becton, Dickinson and Company, Franklin Lakes, NJ) inoculated with 27 different carbapenemase-producing

Indexed as

PhenotypeAnti-Bacterial AgentsBacterial Proteinsbeta-LactamasesBlood CultureCarbapenem-Resistant EnterobacteriaceaeCarbapenemsEnterobacteriaceae InfectionsHumansInactivation, MetabolicMicrobial Sensitivity TestsReproducibility of ResultsSensitivity and SpecificityAnti-Bacterial AgentsBacterial Proteinsbeta-LactamasescarbapenemaseCarbapenemsblood cultureblood-modified carbapenem inactivation method (Blood-mCIM)bloodstream infectioncarbapenemasecarbapenemase-producing Enterobacteriaceae (CPE)modified carbapenem inactivation method (mCIM)phenotypic detection

Identifiers

PMID31748319
PMCPMC6989087
OpenAlexW2984970265

What OpenQuestion holds

Textmetadata
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.