Evidence map›Paper›PMID 35480139›Full record

ReviewBioMed research international2022

Global Increase in Breast Cancer Incidence: Risk Factors and Preventive Measures.

Dharambir Kashyap, Deeksha Pal, Riya Sharma, Vivek Kumar Garg, Neelam Goel, Deepika Koundal, Atef Zaguia, Shubham Koundal, Assaye Belay

RetractedAbstract readReviewRetracted Publication
PubMed Full text at PMC Publisher
In one paragraph

Review in BioMed research international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 235 papers, 15 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
235citing papers in PubMed, 15 pooled it
–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

235 citing papers in PubMed, 15 syntheses or guidelines pooled it.

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  11. Effect of exercise on fatigue and depression in breastcancer women undergoing chemotherapy: a systematic review and meta-analysis.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024
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175 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Dharambir KashyapDepartment of Histopathology, Postgraduate Institute of Medical Education and Research, Chandigarh 160012, India.ORCID https://orcid.org/0000-0002-9160-9377
Deeksha PalDepartment of Translational and Regenerative Medicine, Postgraduate Institute of Medical Education and Research, Chandigarh 160012, India.ORCID https://orcid.org/0000-0002-3083-6170
Riya SharmaDepartment of Pulmonary Medicine, Postgraduate Institute of Medical Education and Research, Chandigarh 160012, India.
Vivek Kumar GargDepartment of Medical Laboratory Technology, University Institute of Applied Health Sciences, Chandigarh University (Gharuan), Mohali 140313, India.ORCID https://orcid.org/0000-0002-7906-2153
Neelam GoelDepartment of Information Technology, University Institute of Engineering & Technology, Panjab University, Chandigarh 160014, India.ORCID https://orcid.org/0000-0002-1577-4530
Deepika KoundalDepartment of Systemics, School of Computer Science, University of Petroleum & Energy Studies, Dehradun, India.ORCID https://orcid.org/0000-0003-1688-8772
Atef ZaguiaDepartment of computer science, College of Computers and Information Technology, Taif University, P.O. BOX 11099, Taif 21944, Saudi Arabia.ORCID https://orcid.org/0000-0001-9519-3391
Shubham KoundalDepartment of Medical Laboratory Technology, University Institute of Applied Health Sciences, Chandigarh University (Gharuan), Mohali 140313, India.
Assaye BelayDepartment of Statistics, Mizan-Tepi University, Ethiopia.ORCID https://orcid.org/0000-0001-7315-9141

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer is a global cause for concern owing to its high incidence around the world. The alarming increase in breast cancer cases emphasizes the management of disease at multiple levels. The management should start from the beginning that includes stringent cancer screening or cancer registry to effective diagnostic and treatment strategies. Breast cancer is highly heterogeneous at morphology as well as molecular levels and needs different therapeutic regimens based on the molecular subtype. Breast cancer patients with respective subtype have different clinical outcome prognoses. Breast cancer heterogeneity emphasizes the advanced molecular testing that will help on-time diagnosis and improved survival. Emerging fields such as liquid biopsy and artificial intelligence would help to under the complexity of breast cancer disease and decide the therapeutic regimen that helps in breast cancer management. In this review, we have discussed various risk factors and advanced technology available for breast cancer diagnosis to combat the worst breast cancer status and areas that need to be focused for the better management of breast cancer.

Indexed as

Breast NeoplasmsArtificial IntelligenceEarly Detection of CancerFemaleHumansIncidenceRisk Factors

Identifiers

PMID35480139
PMCPMC9038417

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.