Evidence map›Paper›PMID 26218169›Full record

ArticleScientific reports2015

Melting Temperature Mapping Method: A Novel Method for Rapid Identification of Unknown Pathogenic Microorganisms within Three Hours of Sample Collection.

Hideki Niimi, Tomohiro Ueno, Shirou Hayashi, Akihito Abe, Takahiro Tsurue, Masashi Mori, Homare Tabata, Hiroshi Minami, Michihiko Goto, Makoto Akiyama and 3 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.1field-weighted citation impact, top 25% 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

10 citing papers in PubMed, 27 citations in OpenAlex.

  1. Treatment strategies for intra-amniotic infection and/or inflammation in preterm labor cases.European journal of obstetrics & gynecology and reproductive biology: X · 2025
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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

13 authors at 5 institutions in 2 countries.

Hideki NiimiClinical Laboratory Center, Toyama University Hospital, Toyama 930-0194, Japan.
Tomohiro UenoClinical Laboratory Center, Toyama University Hospital, Toyama 930-0194, Japan.
Shirou HayashiClinical Laboratory Center, Toyama University Hospital, Toyama 930-0194, Japan.
Akihito AbeKitami Information Technology Co., Ltd., Hokkaido 090-0813, Japan.
Takahiro TsurueKitami Information Technology Co., Ltd., Hokkaido 090-0813, Japan.
Masashi MoriResearch Institute for Bioresources and Biotechnology, Ishikawa Prefectural University, Ishikawa 921-8836, Japan.
Homare TabataLife Science Center, Hokkaido Mitsui Chemicals, Inc., Hokkaido 073-0138, Japan.
Hiroshi MinamiLife Science Center, Hokkaido Mitsui Chemicals, Inc., Hokkaido 073-0138, Japan.
Michihiko GotoDepartment of Internal Medicine, University of Iowa Carver College of Medicine, IA 52242, USA, and Iowa City Veterans Affairs Medical Center, IA 52246, USA.
Makoto AkiyamaNagaresugi Geriatric Hospital, Toyama 939-8032, Japan.
Yoshihiro YamamotoDepartment of Clinical Infectious Diseases, Toyama University Hospital, Toyama 930-0194, Japan.
Shigeru SaitoDepartment of Obstetrics &Gynecology, Toyama University Hospital, Toyama 930-0194, Japan.
Isao KitajimaClinical Laboratory Center, Toyama University Hospital, Toyama 930-0194, Japan.
Toyama University Hospital · JPKitami Information Technology (Japan) · JPMitsui Chemicals (Japan) · JPIshikawa Prefectural University · JPUniversity of Iowa · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acquiring the earliest possible identification of pathogenic microorganisms is critical for selecting the appropriate antimicrobial therapy in infected patients. We herein report the novel "melting temperature (Tm) mapping method" for rapidly identifying the dominant bacteria in a clinical sample from sterile sites. Employing only seven primer sets, more than 100 bacterial species can be identified. In particular, using the Difference Value, it is possible to identify samples suitable for Tm mapping identification. Moreover, this method can be used to rapidly diagnose the absence of bacteria in clinical samples. We tested the Tm mapping method using 200 whole blood samples obtained from patients with suspected sepsis, 85% (171/200) of which matched the culture results based on the detection level. A total of 130 samples were negative according to the Tm mapping method, 98% (128/130) of which were also negative based on the culture method. Meanwhile, 70 samples were positive according to the Tm mapping method, and of the 59 suitable for identification, 100% (59/59) exhibited a "match" or "broad match" with the culture or sequencing results. These findings were obtained within three hours of whole blood collection. The Tm mapping method is therefore useful for identifying infectious diseases requiring prompt treatment.

Indexed as

Microbiological TechniquesTransition TemperatureBacteriaBacterial InfectionsHumansMolecular TypingPolymerase Chain ReactionReproducibility of ResultsSpecimen HandlingTime FactorsWorkflow

Identifiers

PMID26218169
PMCPMC4517391
OpenAlexW945734487

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.