Evidence map›Paper›PMID 32122893›Full record

SynthesisAntimicrobial agents and chemotherapy2020

Systematic Review of Whole-Genome Sequencing Data To Predict Phenotypic Drug Resistance and Susceptibility in Swedish Mycobacterium tuberculosis Isolates, 2016 to 2018.

Theresa Enkirch, Jim Werngren, Ramona Groenheit, Erik Alm, Reza Advani, Maria Lind Karlberg, Mikael Mansjö

Abstract readSystematic Review
In one paragraph

Synthesis in Antimicrobial agents and chemotherapy, 2020. 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
–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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  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.

Theresa EnkirchDepartment of Microbiology, Public Health Agency of Sweden, Solna, Sweden.
Jim WerngrenDepartment of Microbiology, Public Health Agency of Sweden, Solna, Sweden jim.werngren@folkhalsomyndigheten.se.
Ramona GroenheitDepartment of Microbiology, Public Health Agency of Sweden, Solna, Sweden.
Erik AlmDepartment of Microbiology, Public Health Agency of Sweden, Solna, Sweden.
Reza AdvaniDepartment of Microbiology, Public Health Agency of Sweden, Solna, Sweden.
Maria Lind KarlbergDepartment of Microbiology, Public Health Agency of Sweden, Solna, Sweden.
Mikael MansjöDepartment of Microbiology, Public Health Agency of Sweden, Solna, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this retrospective study, whole-genome sequencing (WGS) data generated on an Ion Torrent platform was used to predict phenotypic drug resistance profiles for first- and second-line drugs among Swedish clinical

Indexed as

Whole Genome SequencingDrug Resistance, Multiple, BacterialHumansMycobacterium tuberculosisSwedenTuberculosisTuberculosis, Multidrug-Resistantdrug resistance predictionhigh-throughput nucleotide sequencingmicrobial drug resistancemicrobial sensitivity teststuberculosiswhole-genome sequencing

Identifiers

PMID32122893
PMCPMC7179598

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.