Evidence map›Paper›PMID 29182561›Full record

ArticleInternational journal of molecular sciences2017

Analysis of MicroRNA Expression in Newborns with Differential Birth Weight Using Newborn Screening Cards.

Patricia Rodil-Garcia, Elvira Del Carmen Arellanes-Licea, Angélica Montoya-Contreras, Luis A Salazar-Olivo

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2017. 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
1.2field-weighted citation impact, top 23% 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, 29 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Obesity in male volcano miceFrontiers in nutrition · 2022
    Article
  6. Article
  7. Article
  8. Epigenetics andFrontiers in genetics · 2019
    Review
  9. Article
  10. Review
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 1 institution in 1 country.

Patricia Rodil-GarciaMolecular Biology Division, Instituto Potosino de Investigación Científica y Tecnológica, Camino a la Presa San José 2055, San Luis Potosí 78216, SLP, México. patyrodil@gmail.com.
Elvira Del Carmen Arellanes-LiceaMolecular Biology Division, Instituto Potosino de Investigación Científica y Tecnológica, Camino a la Presa San José 2055, San Luis Potosí 78216, SLP, México. elvira.arellanes@utcorregidora.edu.mx.
Angélica Montoya-ContrerasMolecular Biology Division, Instituto Potosino de Investigación Científica y Tecnológica, Camino a la Presa San José 2055, San Luis Potosí 78216, SLP, México. angelica.montoya@ipicyt.edu.mx.
Luis A Salazar-OlivoMolecular Biology Division, Instituto Potosino de Investigación Científica y Tecnológica, Camino a la Presa San José 2055, San Luis Potosí 78216, SLP, México. olivo@ipicyt.edu.mx.
Institute for Scientific and Technological Research · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Birth weight is an early predictor for metabolic diseases and microRNAs (miRNAs) are proposed as fetal programming participants. To evaluate the use of dried blood spots (DBS) on newborn screening cards (NSC) as a source of analyzable miRNAs, we optimized a commercial protocol to recover total miRNA from normal birth weight (NBW,

Indexed as

Birth WeightDiabetes Mellitus, Type 2FemaleFetal MacrosomiaGene Expression ProfilingHumansInfant, NewbornMaleMicroRNAsNeonatal ScreeningMicroRNAsMIRN33a microRNA, humanMIRN375 microRNA, humanbirth weightcirculating microRNAsfetal programmingnewborn screening cards

Identifiers

PMID29182561
PMCPMC5751155
OpenAlexW2770020794

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.