Evidence map›Paper›PMID 10800415›Full record

ReviewAmerican journal of public health2000

The potential and limitations of data from population-based state cancer registries.

J N Izquierdo, V J Schoenbach

Abstract readReview
In one paragraph

Review in American journal of public health, 2000. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 2 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

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

49 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  14. Epidemiology of Nasopharyngeal Carcinoma in Sarawak, East Malaysia.Asian Pacific journal of cancer prevention : APJCP · 2023
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

J N IzquierdoSchool of Public Health, University of North Carolina, Chapel Hill 27599-7400, USA. jorge_izquierdo@unc.edu
V J Schoenbach

Funding

Virology Research Program (Program 4)P30CA016086 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Deborah F. Tate · 1985 to 2026
$201.5M
UNC MINORITY CANCER CONTROL RESEARCH PROGRAMR01CA064060 · NCI · UNIVERSITY OF NORTH CAROLINA CHAPEL HILL · PI SCHOENBACH, VICTOR · 1994 to 1996
–
NCI NIH HHS P30 CA16086-14S1NCI NIH HHS R01 CA64060
6 · The paper itself

Abstract

Cancer incidence varies markedly among states because of population heterogeneity regarding risk, genetic, and demographic factors. Population-based cancer registries are essential to monitoring cancer trends and control. The Centers for Disease Control and Prevention and the North American Association of Central Cancer Registries, through the National Program of Cancer Registries, are helping state registries generate more and better data nationwide. The National Program of Cancer Registries has supported the enhancement of 36 registries and the creation of 13 new registries in 45 states, 3 territories, and the District of Columbia, providing national standards for completeness, timeliness, and quality; financial support; and technical assistance. Users must be aware of diverse issues that influence collection and interpretation of cancer registry data, such as multiple cancer diagnoses, duplicate reports, reporting delays, misclassification of race/ethnicity, and pitfalls in estimations of cancer incidence rates. Attention to these issues and intense use of the available data for cancer surveillance will enable maximum societal benefit from the emerging network of population-based state cancer registries.

Indexed as

Data Interpretation, StatisticalBiasCenters for Disease Control and Prevention, U.S.ConfidentialityData CollectionEthnicityHumansIncidenceNeoplasmsPopulation SurveillanceRacial GroupsRegistriesReproducibility of ResultsRisk FactorsTime FactorsUnited States

Identifiers

PMID10800415
PMCPMC1446235

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.