Evidence map›Paper›PMID 21827671›Full record

ArticleJournal of ovarian research2011

A retrospective analysis of clinicopathological and prognostic characteristics of ovarian tumors in the State of Espírito Santo, Brazil.

Marcela F Paes, Renata D Daltoé, Klesia P Madeira, Lucas Cd Rezende, Gabriela M Sirtoli, Alice L Herlinger, Leticia S Souza, Luciana B Coitinho, Débora Silva, Murilo F Cerri and 4 more

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Article in Journal of ovarian research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

14 authors.

Marcela F PaesLaboratório de Biologia Celular e Molecular do Câncer Humano, Departamento de Ciências Farmacêuticas, 2° Andar, Sala 08, Centro de Ciências da Saúde, Universidade Federal do Espírito Santo, Maruípe, Vitória, ES - Brazil, CEP: 29043-900. lbarangel@yahoo.com.
Renata D Daltoé
Klesia P Madeira
Lucas Cd Rezende
Gabriela M Sirtoli
Alice L Herlinger
Leticia S Souza
Luciana B Coitinho
Débora Silva
Murilo F Cerri
Ana Cristina N Chiaradia
Alex A Carvalho
Ian V Silva
Leticia Ba Rangel

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOvarian cancer is sixth most common cancer among women and the leading cause of death in women with gynecological malignancies. Despite the great impact ovarian cancer has on women's health and its great impact in public economy, Brazil still lacks valuable information concerning epidemiological aspects of this disease

methodsWe've compiled clinical data of all ovarian tumors registered at the two public hospitals of reference (1997 - 2007), such as: patients' age at diagnosis, tumor histological type, tumor stage, chemotherapy regimens, chemotherapy responsiveness, disease-free survival, and overall survival.

resultsWomen's mean age at diagnosis was 54.67 ± 13.84 for ovarian cancer, 46.15 ± 11.15 for borderline tumors, and 42.01 ± 15.06 for adenomas. Among epithelial ovarian cancer cases, 30.1% were of serous, 13.7% were of mucinous, and 13.7% were of endometrioid type; exceptionally serous carcinoma was diagnosed in women younger than 30 years old. Endometrioid cancer had lower disease-free survival than others (p < 0.05). Cases were predominantly diagnosed as poor prognosis disease (FIGO III and IV, 56.2%). Regarding responsiveness to platinum-based therapy, 17.1% of patients were resistant, whereas 24.6%, susceptible. From these, we found equally responsiveness to platinum alone or its association with paclitaxel or cyclophosphamide. DISCUSSION: Our data agreed with other studies regarding mean patients' age at diagnosis, histological type frequency, FIGO stages distribution, and chemotherapy regimens. However, the histological type distribution, with equal contribution of mucinous and endometrioid types seems to be a unique characteristic of the studied highly miscegenated population.

conclusionWe have enlighten the profile of the studied ovarian cancer population, which might enable the development of more efficient political strategies to control this malignancy that is the fifth leading cause of cancer-related deaths among women.

Identifiers

PMID21827671
PMCPMC3163211

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