Evidence map›Paper›PMID 33475807›Full record

ReviewDer Pathologe2021

[Mycobacterium szulgai as positive control helps to detect contaminations in the detection of Mycobacterium tuberculosis-complex in formalin fixed, paraffin embedded tissues by 16SrDNA PCR].

Torsten Goldmann, Doris Hillemann, Florian Maurer, Barbara Kalsdorf, Rosemarie Krupar, Florian Stellmacher, Sven Perner

Abstract readReview
PubMed Publisher
In one paragraph

Review in Der Pathologe, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.1field-weighted citation impact, top 53% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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 4 institutions in 1 country.

Torsten GoldmannPathologie, Forschungszentrum Borstel, Leibniz Lungenzentrum, Parkallee 1-40, 23845, Borstel, Deutschland.
Doris HillemannNationales Referenzzentrum für Mykobakterien, Forschungszentrum Borstel, Leibniz Lungenzentrum, 23845, Borstel, Deutschland.
Florian MaurerNationales Referenzzentrum für Mykobakterien, Forschungszentrum Borstel, Leibniz Lungenzentrum, 23845, Borstel, Deutschland.
Barbara KalsdorfMedizinische Klinik, Forschungszentrum Borstel, Leibniz Lungenzentrum, 23845, Borstel, Deutschland.
Rosemarie KruparPathologie, Forschungszentrum Borstel, Leibniz Lungenzentrum, Parkallee 1-40, 23845, Borstel, Deutschland.
Florian StellmacherPathologie, Forschungszentrum Borstel, Leibniz Lungenzentrum, Parkallee 1-40, 23845, Borstel, Deutschland. fstellmacher@fz-borstel.de.
Sven PernerPathologie, Forschungszentrum Borstel, Leibniz Lungenzentrum, Parkallee 1-40, 23845, Borstel, Deutschland.
Research Center Borstel - Leibniz Lung Center · DEUniversitäres Kinderwunschzentrum Lübeck · DEGerman Center for Lung Research · DEUniversity Medical Center Hamburg-Eppendorf · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The detection of Mycobacterium tuberculosis complex DNA by PCR using formalin-fixed paraffin-embedded material has become an integral part of molecular-pathological diagnostics. We describe an approach that enables the detection of contamination by using Mycobacterium szulgai as a positive control, contributing to the reduction of false-positive results.

Indexed as

Mycobacterium tuberculosisDNA, BacterialFormaldehydeNontuberculous MycobacteriaParaffin EmbeddingPolymerase Chain ReactionSensitivity and SpecificityDNA, BacterialFormaldehydeDNA sequence analysisMolecular pathologyMycobacteriaPolymerase chain reactionQuality control

Identifiers

PMID33475807
OpenAlexW3121919266

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.