Evidence map›Paper›PMID 27683438›Full record

ArticleEJIFCC2013

Cell Culture Models and Pharmacological Perspective for the Study of Breast Cancer Markers.

Cristian Layton Tovar, Hugo Mendieta Zerón

Abstract read
In one paragraph

Article in EJIFCC, 2013. 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
–field-weighted citation impact
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.

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

2 authors.

Cristian Layton TovarInternational Federation of Clinical Chemistry and Laboratory Medicine (IFCC), Professional Scientific Exchange Programme, Sustainable Chemistry Research Center (CIQS) Autonomous University of the State of Mexico (UAEMex), National Autonomous University of México (UNAM).
Hugo Mendieta ZerónMedical Research Center (CICMED), UAEMex; Asociación Científica Latina (ASCILA) and Ciprés Grupo Médico (CGM) , Toluca, Mexico.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Among the most prevalent neoplasias, breast cancer shows an astonishing tendency. Unfortunately this cancer has a high mortality worldwide, requiring sustained management of all actors involved in public health in order to get an early diagnosis and treatment. The methods associated with conventional cytogenetics and molecular cell culture, besides early detection of gene expression patterns associated with cancer susceptibility, have contributed to identify inherited genes and metabolic disorders related to obesity, which are also involved in breast cancer. In any case, a broad study of the above mentioned factors can give a predictive value to support the design of public health models to determine cancer risk in order to decrease the mortality from this disease. (1) Cell cultures offers a wide range of scientific approach for the study of breast cancer, including the analysis of biological function of several compounds in search of increasingly effective treatments with fewer side effects against this malignancy. (2).

Indexed as

breast cancercancer markerscell culturecytogenetic

Identifiers

PMID27683438
PMCPMC4975167

What OpenQuestion holds

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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.