Evidence map›Paper›PMID 28198381›Full record

ArticleScientific reports2017

Bio-functionalized magnetic nanoparticles for the immunoassay of fetal fibronectin: a feasibility study for the prediction of preterm birth.

Chian-Huey Wong, Chie-Pein Chen, Chia-Chen Chang, Chen-Yu Chen

Open access · goldAbstract read
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Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 33% 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

4 citing papers in PubMed, 11 citations in OpenAlex.

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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

4 authors at 2 institutions in 1 country.

Chian-Huey WongDepartment of Obstetrics and Gynecology, Mackay Memorial Hospital, Taipei, Taiwan.
Chie-Pein ChenDepartment of Obstetrics and Gynecology, Mackay Memorial Hospital, Taipei, Taiwan.
Chia-Chen ChangInstitute of Biomedical Engineering, National Taiwan University, Taipei, Taiwan.
Chen-Yu ChenDepartment of Obstetrics and Gynecology, Mackay Memorial Hospital, Taipei, Taiwan.
Mackay Memorial Hospital · TWNational Taiwan University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Preterm birth is an important cause of perinatal morbidity and mortality. Various biomarkers in cervicovaginal secretions related to preterm birth have been investigated, of which foetal fibronectin (fFN) shows the greatest potential because of its high negative predictive value. The immunomagnetic reduction (IMR) assay has emerged as a novel quantitative method to detect biomarkers. In this prospective case-control study, we analysed 33 samples of cervicovaginal secretions from pregnant women between 22 and 34 weeks of gestation at high risk of preterm birth. Seventeen samples were from women with term deliveries and 16 from those with preterm deliveries. The fFN concentration in each sample was measured using both an IMR assay and enzyme-linked immunosorbent assay (ELISA). The low detection limits of the IMR assay and ELISA were 0.0001 ng/mL and 0.789 ng/mL, respectively. The sensitivity and specificity of the IMR assay were 0.833 and 0.944, respectively, compared to 0.583 and 0.611 by ELISA. Our results suggest that measuring the concentration of fFN with the IMR assay is a good alternative method to accurately predict the risk of preterm birth.

Indexed as

ImmunoassayMagnetite NanoparticlesBiomarkersCase-Control StudiesCervix UteriEnzyme-Linked Immunosorbent AssayFemaleFibronectinsGestational AgeHumansInfant, NewbornPregnancyPremature BirthPrognosisReproducibility of ResultsROC CurveBiomarkersFibronectinsMagnetite Nanoparticles

Identifiers

PMID28198381
PMCPMC5309779
OpenAlexW2588298928

What OpenQuestion holds

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Registered trials

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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.