Evidence map›Paper›PMID 31959128›Full record

ArticleBMC cancer2020

Space-time clustering of childhood leukemia in Colombia: a nationwide study.

Laura Andrea Rodriguez-Villamizar, Marcela Pilar Rojas Díaz, Lizbeth Alexandra Acuña Merchán, Feisar Enrique Moreno-Corzo, Paula Ramírez-Barbosa

Abstract read
In one paragraph

Article in BMC cancer, 2020. 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
–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

5 citing papers in PubMed.

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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

5 authors.

Laura Andrea Rodriguez-VillamizarCarrera 32 29-31 Of. 301 Facultad de Salud, Universidad Industrial de Santander, Bucaramanga, Colombia. laurovi@uis.edu.co.ORCID http://orcid.org/0000-0002-5551-2586
Marcela Pilar Rojas DíazInstituto Nacional de Salud, Avenida 26 51-120, Bogotá, Colombia.
Lizbeth Alexandra Acuña MerchánMinisterio de Salud y Protección Social, Cuenta de Alto Costo- Fondo Colombiano de Enfermedades de Alto Costo, Avenida 45 103-34 Of. 802, Bogota, Colombia.
Feisar Enrique Moreno-CorzoObservatorio de Salud Pública de Santander, Fundación Oftalmológica de Santander, Avenida El Bosque 23-60, Floridablanca, Colombia.
Paula Ramírez-BarbosaMinisterio de Salud y Protección Social, Cuenta de Alto Costo- Fondo Colombiano de Enfermedades de Alto Costo, Avenida 45 103-34 Of. 802, Bogota, Colombia.

Funding

COLCIENCIAS COLOMBIA 789-2017
6 · The paper itself

Abstract

backgroundLeukemia is the most common cancer in childhood. The estimated incidence rate of childhood leukemia in Colombia is one of the highest in America and little is known about its spatial distribution. PURPOSE: To explore the presence of space-time clustering of childhood leukemia in Colombia.

methodsWe included children less than 15 years of age with confirmed diagnosis of acute leukemia reported to the national surveillance system for cancer between 2009 and 2017. Kulldorff's spatio-temporal scan statistics were used with municipality and year of diagnosis as units for spatial and temporal analysis.

resultsThere were 3846 cases of childhood leukemia between 2009 and 2017 with a specific mean incidence rate of 33 cases per million person-years in children aged 0-14 years. We identified five spatial clusters of childhood leukemia in different regions of the country and specific time clustering during the study period.

conclusionChildhood leukemia seems to cluster in space and time in some regions of Colombia suggesting a common etiologic factor or conditions to be studied.

Indexed as

Acute DiseaseAdolescentChildChild, PreschoolColombiaFemaleHumansIncidenceInfantInfant, NewbornLeukemiaMaleNeoplasmsRegistriesSpace-Time ClusteringChildhoodCluster analysisColombiaEpidemiologyLeukemia

Identifiers

PMID31959128
PMCPMC6971926

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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.