Evidence map›Paper›PMID 35140789›Full record

ArticleJournal of cancer epidemiology2022

Impact of the Management and Proportion of Lost to Follow-Up Cases on Cancer Survival Estimates for Small Population-Based Cancer Registries.

Fabian Gil, Adalberto Miranda-Filho, Claudia Uribe-Perez, N E Arias-Ortiz, M C Yépez-Chamorro, L M Bravo, Esther de Vries

Abstract read
In one paragraph

Article in Journal of cancer epidemiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
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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.

Fabian GilPhD Program in Clinical Epidemiology, Department of Clinical Epidemiology and Biostatistics, Pontificia Universidad Javeriana, Bogotá, Colombia.ORCID https://orcid.org/0000-0001-6444-7248
Adalberto Miranda-FilhoCancer Surveillance Branch, International Agency for Research on Cancer, Lyon, France.ORCID https://orcid.org/0000-0002-3655-8482
Claudia Uribe-PerezPopulation Registry of Cancer of the Metropolitan Area of Bucaramanga, Genetic Study of Complex Diseases Research Group, Universidad Autónoma de Bucaramanga, Bucaramanga, Colombia.ORCID https://orcid.org/0000-0002-6640-5938
N E Arias-OrtizPopulation Registry of Cancer of Manizales, Health Promotion and Disease Prevention Research Group (Grupo de Investigación Promoción de la Salud y Prevención de la Enfermedad-GIPSPE) Universidad de Caldas, Manizales, Colombia.ORCID https://orcid.org/0000-0001-5093-3384
M C Yépez-ChamorroCancer Registry of Pasto, Centro de Estudios en Salud (CESUN), Facultad de Ciencias de la Salud, Universidad de Nariño, Colombia.ORCID https://orcid.org/0000-0002-3482-5786
L M BravoCancer Registry of Pasto, Centro de Estudios en Salud (CESUN), Universidad de Nariño, Colombia.ORCID https://orcid.org/0000-0002-6440-8289
Esther de VriesDepartment of Clinical Epidemiology and Biostatistics, Faculty of Medicine, Pontificia Universidad Javeriana, Bogotá, Colombia.ORCID https://orcid.org/0000-0002-5560-2258

Funding

World Health Organization 001
6 · The paper itself

Abstract

backgroundEstimation of survival requires follow-up of patients from diagnosis until death ensuring complete and good quality data. Many population-based cancer registries in low- and middle-income countries have difficulties linking registry data with regional or national vital statistics, increasing the chances of cases lost to follow-up. The impact of lost to follow-up cases on survival estimates from small population-based cancer registries (<500 cases) has been understudied, and bias could be larger than in larger registries.

methodsWe simulated scenarios based on idealized real data from three population-based cancer registries to assess the impact of loss to follow-up on 1-5-year overall and net survival for stomach, colon, and thyroid cancers-cancer types with very different prognosis. Multiple scenarios with varying of lost to follow-up proportions (1-20%) and sample sizes of (100-500 cases) were carried out. We investigated the impact of excluding versus censoring lost to follow-up cases; punctual and bootstrap confidence intervals for the average bias are presented.

resultsCensoring of lost to follow-up cases lead to overestimation of the overall survival, this effect was strongest for cancers with a poor prognosis and increased with follow-up time and higher proportion of lost to follow-up cases; these effects were slightly larger for net survival than overall survival. Excluding cases lost to follow-up did not generate a bias on survival estimates on average, but in individual cases, there were under- and overestimating survival. For gastric, colon, and thyroid cancer, relative bias on 5-year cancer survival with 1% of lost to follow-up varied between 6% and 125%, 2% and 40%, and 0.1% and 1.0%, respectively.

conclusionEstimation of cancer survival from small population-based registries must be interpreted with caution: even small proportions of censoring, or excluding lost to follow-up cases can inflate survival, making it hard to interpret comparison across regions or countries.

Identifiers

PMID35140789
PMCPMC8818438

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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.