Evidence map›Paper›PMID 29805391›Full record

ArticlePakistan journal of medical sciences

Expression of Estrogen Receptors (ER), Progesterone Receptors (PR) and HER-2/neu receptors in Endometrial Carcinoma and their associations with histological types, grades and stages of the tumor.

Samina Waqar, Saleem Ahmad Khan, Tariq Sarfraz, Saba Waqar

Open access · goldAbstract read
In one paragraph

Article in Pakistan journal of medical sciences. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.4field-weighted citation impact, top 16% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

Samina WaqarDr. Samina Waqar, M.Phil. Department of Histopathology, Army Medical College/ Military Hospital, Rawalpindi, Pakistan.
Saleem Ahmad KhanDr. Saleem Ahmad Khan, PhD. Department of Hematology, Army Medical College/ Military Hospital, Rawalpindi, Pakistan.
Tariq SarfrazDr. Tariq Sarfraz, FRC Path. Department of Histopathology, Army Medical College/ Military Hospital, Rawalpindi, Pakistan.
Saba WaqarDr. Saba Waqar, M. Phil. Department of Dental Material, Army Medical College/ Military Hospital, Rawalpindi, Pakistan.
Pakistan Army · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo study and detect immunohistochemical expression of Estrogen Receptors, Progestrone Receptors and HER-2/neu Receptors in Endometrial Carcinoma (EC) and to find their associations with histological types, grades and stages of the tumor.

methodsA cross sectional study of one year duration from January 2016 to January 2017 was conducted at Histopathology department of Army Medical College, Rawalpindi. A non-probability purposive sampling technique was used to include 56 cases of EC. The specimens were tested for ER, PR and HER-2/neu expression using immunohistochemical analysis. Data was analyzed in SPSS and the significance of association of expression of the receptors with histological types, grades and stages of the tumor was assessed.

resultsSignificant association of Her-2/neu overexpression with histological types and grades of EC was seen, whereas the association of ER and PR expression with histological types, grades and stage of EC was statistically insignificant.

conclusionIt is suggested that EC showing over expression of HER2/neu with immunohistochemistry may be treated with anti HER-2/neu treatment with better chances of survival and decreased post-treatment morbidity.

Indexed as

Endometrial CarcinomaEstrogen ReceptorsHer-2/NeuProgesterone Receptors

Identifiers

PMID29805391
PMCPMC5954362
OpenAlexW3024190667

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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.