Evidence map›Paper›PMID 36387506›Full record

ArticleHeliyon2022

Chip-based digital Polymerase Chain Reaction as quantitative technique for the detection of

Stefano Giannoni-Luza, Oscar Acosta, Alexis Germán Murillo Carrasco, Pierina Danos, José Manuel Cotrina Concha, Henry Guerra Miller, Joseph A Pinto, Alfredo Aguilar, Jhajaira M Araujo, Ricardo Fujita and 1 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Heliyon, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 44% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. 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

11 authors at 4 institutions in 1 country.

Stefano Giannoni-LuzaCentro de Genética y Biología Molecular, Universidad de San Martín de Porres, Lima, Peru.
Oscar AcostaCentro de Genética y Biología Molecular, Universidad de San Martín de Porres, Lima, Peru.
Alexis Germán Murillo CarrascoCentro de Genética y Biología Molecular, Universidad de San Martín de Porres, Lima, Peru.
Pierina DanosCentro de Genética y Biología Molecular, Universidad de San Martín de Porres, Lima, Peru.
José Manuel Cotrina ConchaInstituto Nacional de Enfermedades Neoplásicas (INEN), Lima, Peru.
Henry Guerra MillerInstituto Nacional de Enfermedades Neoplásicas (INEN), Lima, Peru.
Joseph A PintoUnidad de Investigación Básica y Traslacional, Oncosalud-Auna, Lima, Peru.
Alfredo AguilarUnidad de Investigación Básica y Traslacional, Oncosalud-Auna, Lima, Peru.
Jhajaira M AraujoInstituto Nacional de Enfermedades Neoplásicas (INEN), Lima, Peru.
Ricardo FujitaCentro de Genética y Biología Molecular, Universidad de San Martín de Porres, Lima, Peru.
Jose BulejeCentro de Genética y Biología Molecular, Universidad de San Martín de Porres, Lima, Peru.
Universidad de San Martín de Porres · PEInstituto Nacional de Enfermedades Neoplásicas · PEEsSALUD · PENational University of San Marcos · PE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Materials and Methods: Tumor samples from 57 breast cancer patients (22 pre-treatment samples, 32 tumors after neoadjuvant chemotherapy, and three lymph nodes) were collected and analyzed by Sanger sequencing and dPCR for the three Results: Sanger sequencing identified Conclusions: Digital PCR showed a high sensitivity to detect mutations in tumor samples and it might be capable to detect low-rate mutations and tumor subpopulations not detected by Sanger sequencing.

Indexed as

Breast neoplasmsDigital PCRGenetic techniquesMutationPIK3CAPolymerase chain reaction

Identifiers

PMID36387506
PMCPMC9650006
OpenAlexW4308487891

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.