Evidence map›Paper›PMID 23363825›Full record

ArticleJournal of clinical microbiology2013

Direct sequencing and RipSeq interpretation as a tool for identification of polymicrobial infections.

Tine Y Wolff, Steffen Eickhardt, Maria K Björnsdottir, Claus Moser, Thomas Bjarnsholt, Niels Høiby, Trine R Thomsen

Abstract readEvaluation Study
In one paragraph

Article in Journal of clinical microbiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Updated Review onClinical microbiology reviews · 2022
    Review
  2. Article
  3. Article
  4. Article
  5. 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.

Tine Y WolffThe Danish Technological Institute, Life Science Division, Aarhus, Denmark.
Steffen Eickhardt
Maria K Björnsdottir
Claus Moser
Thomas Bjarnsholt
Niels Høiby
Trine R Thomsen

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, RipSeq Mixed, a software resolving uninterpretable mixed DNA sequencing chromatograms, revealed the bacterial content of 15 polymicrobial samples. Direct sequencing combined with RipSeq Mixed constitutes a valuable supplement to cultivation, particularly when cultivation is negative and direct sequencing is inconclusive despite continued clinical indications of infection.

Indexed as

AdultAgedBacterial InfectionsCoinfectionComputational BiologyFemaleHumansMaleMiddle AgedMolecular Diagnostic TechniquesSequence Analysis, DNASoftware

Identifiers

PMID23363825
PMCPMC3666778

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.