Evidence mapPaperPMID 40230896Full record

ArticleBioinformation2024

Breast cancer histopathology, classification and clinical management: Current perspectives.

Ravindra Waykar, Srinivasakumar Kumarapillai

Abstract read
In one paragraph

Article in Bioinformation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Ravindra WaykarDepartment of Pharmacy, Lincoln University College, Wisma Lincoln, Jalan SS 6/12, 47301 Petaling Jaya, Selangor Darul Ehsan, Malaysia.
Srinivasakumar KumarapillaiDepartment of Pharmacy, Lincoln University College, Wisma Lincoln, Jalan SS 6/12, 47301 Petaling Jaya, Selangor Darul Ehsan, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer (BC) manifests as a diverse group of malignancies and presents as a wide array of tumors with distinct morphological, biological and clinical characteristics. Molecular classification of BC serves as the basis for current precision-oriented therapeutic strategies. Upcoming therapeutic strategies will emphasize personalized medicine and tailoring treatments according to each patient's specific needs. These approaches will involve modulating the therapy intensity based on the biological characteristics of tumours and early predictive indicators, allowing for more precise and adaptable care in oncology. Additionally, there remains an unfulfilled requirement for the creation of new medications to treat breast cancer in its early stages, as well as in advanced cases. This review article presents an extensive examination of breast cancer, delving into its prevalence, contributing factors, molecular and cellular features and therapeutic interventions.

Indexed as

Breast cancerclassificationductal carcinoma in situheterogeneityinvasive ductal carcinomamolecular mechanisms

Identifiers

PMID40230896
PMCPMC11993385

What Socratic 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 Socratic graph.