Evidence map›Paper›PMID 29456616›Full record

ArticleEcancermedicalscience2018

The mortality-incidence ratio as an indicator of five-year cancer survival in metropolitan Lima.

Karoline Stenning-Persivale, Maria Jose Savitzky Franco, Alejandra Cordero-Morales, José Cruzado-Burga, Ebert Poquioma, Edgar Díaz Nava, Eduardo Payet

Abstract read
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Article in Ecancermedicalscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 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

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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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

7 authors.

Karoline Stenning-PersivaleSchool of Medicine, Peruvian University of Applied Sciences, 15067 Lima, Peru.
Maria Jose Savitzky FrancoSchool of Medicine, Peruvian University of Applied Sciences, 15067 Lima, Peru.
Alejandra Cordero-MoralesSchool of Medicine, Peruvian University of Applied Sciences, 15067 Lima, Peru.
José Cruzado-BurgaNational Cancer Institute, 15038 Lima, Peru.
Ebert PoquiomaNational Cancer Institute, 15038 Lima, Peru.
Edgar Díaz NavaNational Cancer Institute, 15038 Lima, Peru.
Eduardo PayetNational Cancer Institute, 15038 Lima, Peru.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe Mortality-Incidence Ratio complement [1 - MIR] is an indicator validated in various populations to estimate five-year cancer survival, but its validity remains unreported in Peru. This study aims to determine if the MIR correlates directly with five-year survival in patients diagnosed with the ten most common types of cancer in metropolitan Lima. MATERIALS AND

methodsThe Metropolitan Lima Cancer Registry (RCLM in Spanish) for 2004-2005 was used to determine the number of new cases and the number of deaths of the following cancers: breast, stomach, prostate, thyroid, lung, colon, cervical, and liver cancers, as well as non-Hodgkin's lymphoma and leukaemia. To determine the five-year survival, the five-year vital status of cases recorded was verified in the National Registry of Identification and Civil Status (RENIEC in Spanish). A linear regression model was used to assess the correlation between [1 - MIR] and total observed five-year survival for the selected cancers.

resultsObserved and estimated five-year survival determined by [1 - MIR] for each neoplasia were thyroid (66.7%, 86.7%), breast (69.6%; 68%), prostate (64.3%, 63.8%) and cervical (50.1%, 58.5%), respectively. Pearson's

conclusionThe Mortality-Incidence Ratio complement [1 - MIR] is an appropriate tool for approximating observed five-year survival for the ten types of cancers studied. This study demonstrates the validity of this model for predicting five-year survival in cancer patients in metropolitan Lima.

Indexed as

cancercancer registriesincidencemortalitymortality/incidence ratioPerusurvival

Identifiers

PMID29456616
PMCPMC5813917

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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.