Evidence map›Paper›PMID 23659667›Full record

ArticleDiagnostic pathology2013

Clinico- pathological profile of patients with breast diseases.

Hafiz Muhammad Aslam, Shafaq Saleem, Hiba Arshad Shaikh, Nazish Shahid, Anum Mughal, Ribak Umah

Abstract read
In one paragraph

Article in Diagnostic pathology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

20 citing papers in PubMed.

  1. Article
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  8. Case report: Axilla fibroadenoma - An atypical presentation.Annals of medicine and surgery (2012) · 2022
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Effectiveness of Centchroman on Regression of Fibroadenosis and Mastalgia.Journal of clinical and diagnostic research : JCDR · 2016
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Histological Characteristics of Breast Lesions in Uyo, Nigeria.Nigerian journal of surgery : official publication of the Nigerian Surgical Research Society
    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

6 authors.

Hafiz Muhammad AslamDow Medical College, Dow University of Health Sciences, Karachi, Pakistan.
Shafaq Saleem
Hiba Arshad Shaikh
Nazish Shahid
Anum Mughal
Ribak Umah

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo evaluate the spectrum of breast diseases and their association with presenting complains of patients. METHODOLOGY: It was a cross sectional study conducted from 1st January 2010 - 30th December 2012. A total of 254 breast specimens of patients, who were admitted in Civil Hospital Karachi with breast complaints, were included. Specimens were collected either from mastectomy, lumpectomy or needle biopsy from the admitted patients. Informed written consent was taken from all the patients. All patients with primary breast diseases were included. Patients undergoing chemotherapy or with secondary breast disease and slides with insufficient specimen were excluded. All data was entered and analyzed through SPSS 19.

resultThere were 254 breast lesions, histologically diagnosed in 3 year review period. The overall mean age of patients with breast lesion was 25.18, SD ± 11.73 with a wide age range of 12-74 years. Most common cases identified are benign 191(75.3%), followed by inflammatory 30(11.8%) and malignant lesions 30(11.8%). Most patients presenting with the complain of pain have diagnosis of fibroadenoma 24 (63.2%) while patient with complain of lump also have the most common diagnosis of fibroadenoma 147 (72.8%).

conclusionsStudy shows that in Pakistani females, mostly encountered breast lesion was fibroadenoma. Due to lack of awareness breast diseases present lately. Awareness must be created among women to reduce the mortality and morbidity with breast lesions. VIRTUAL SLIDES: The virtual slide(s) for this article can be found here: http://www.diagnosticpathology.diagnomx.eu/vs/1037059088969395.

Indexed as

AdolescentAdultAgedBiopsy, NeedleBreast DiseasesChildFemaleFibroadenomaHumansMaleMiddle AgedPainPakistanYoung Adult

Identifiers

PMID23659667
PMCPMC3655823

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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.