Evidence map›Paper›PMID 28649938›Full record

ArticleGlobal health action2017

Epidemiology and survival of cervical cancer in the French West-Indies: data from the Martinique Cancer Registry (2002-2011).

K Melan, E Janky, J Macni, S Ulric-Gervaise, M-J Dorival, J Veronique-Baudin, C Joachim

Abstract read
In one paragraph

Article in Global health action, 2017. 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

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

20 citing papers in PubMed.

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  6. Observational
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  12. Review
  13. Elastic Net-Based Identification of a Multigene Combination Predicting the Survival of Patients with Cervical Cancer.Medical science monitor : international medical journal of experimental and clinical research · 2019
    Article
  14. Article
  15. Article
  16. Article
  17. Article
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  19. Incidence and mortality of cervical cancer in China, 2013.Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2017
    Article
  20. 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

7 authors.

K Melana Martinique Cancer Registry , AMREC , Fort-de-France , Martinique.ORCID 0000-0002-4894-8509
E Jankyb Gynecology Obstetrics Department , University Hospital of Pointe-à-Pitre , Pointe-à-Pitre , Guadeloupe.
J Macnic Oncology Haematology Urology Pathology Department , University Hospital of Martinique , Fort-de-France , Martinique.
S Ulric-Gervaisec Oncology Haematology Urology Pathology Department , University Hospital of Martinique , Fort-de-France , Martinique.
M-J Dorivald Laboratoire de Pathologie SERAL , Fort-de-France , Martinique.
J Veronique-Baudinc Oncology Haematology Urology Pathology Department , University Hospital of Martinique , Fort-de-France , Martinique.
C Joachimc Oncology Haematology Urology Pathology Department , University Hospital of Martinique , Fort-de-France , Martinique.ORCID 0000-0002-2967-7205

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Caribbean ranks seventh among world regions most affected by cervical cancer. Social health inequalities, such as differences in access to screening services, engender disparities in incidence and mortality between low- and middle-income countries and industrialized countries. The French National Cancer Plan 2014-2019 focuses on reducing inequalities in cervical cancer.

objectiveThe aim of this study was to describe the geographical distribution and overall survival of cervical cancer, based on data from a population-based cancer registry in Martinique (French West-Indies).

methodsWe included all cases of cervical cancer diagnosed between 2002 and 2011. The geographical distribution was described by zone of residence and by aggregated units for statistical information (IRIS). Based on the results of the model, standardized incidence rates (SIRs) were calculated using a Gamma Poisson model. Survival rates were calculated using the Kaplan-Meier method. Cox proportional hazards models were used to investigate the risk factors for cervical cancer mortality.

resultsA total of 1253 cases were analyzed (947 in situ tumors and 306 invasive cancers). 1230 cases with geolocalization were used to map the distribution of the incidence of in situ and invasive cervical cancers. Five IRIS were significantly over-incident. The 5-year overall survival rate was 55%, with a median survival of 6.5 years [95% CI: 4.9-10.1]. Multivariate analysis confirmed age at diagnosis (HR = 2.15 [1.50-3.09]; p < 0.0001), FIGO stage (HR = 3.53 [2.50-4.99]; p < 0.0001) and zone of residence (HR = 1.51 [1.06-2.13]; p = 0.02) as risk factors.

conclusionsPrognostic factors suggest that cervical cancer needs to be diagnosed at an early stage. Our results could allow cervical cancer screening programs to clearly identify geographical areas that would benefit from targeted interventions with a view to reducing incidence and mortality of cervical cancer in the Caribbean.

Indexed as

AdultAgedCaribbean RegionEarly Detection of CancerFemaleHumansIncidenceMartiniqueMiddle AgedMultivariate AnalysisProportional Hazards ModelsRegistriesResidence CharacteristicsRisk FactorsSurvival RateUterine Cervical Neoplasmscancer registryCervical cancerepidemiologypopulation-basedspatial distributionsurvival

Identifiers

PMID28649938
PMCPMC5496169

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Registered trials

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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.