Evidence map›Paper›PMID 34623641›Full record

ArticleCancer2022

Impact of including second and later cancers in cause-specific survival estimates using population-based registry data.

Gonçalo Forjaz, Nadia Howlader, Steve Scoppa, Christopher J Johnson, Angela B Mariotto

Abstract read
In one paragraph

Article in Cancer, 2022. 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.

  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

5 authors.

Gonçalo ForjazDivision of Cancer Control and Population Sciences, National Cancer Institute, Rockville, Maryland.ORCID 0000-0001-8855-2042
Nadia HowladerDivision of Cancer Control and Population Sciences, National Cancer Institute, Rockville, Maryland.
Steve ScoppaInformation Management Services, Inc, Calverton, Maryland.
Christopher J JohnsonCancer Data Registry of Idaho, Boise, Idaho.
Angela B MariottoDivision of Cancer Control and Population Sciences, National Cancer Institute, Rockville, Maryland.

Funding

Intramural NIH HHS Z99 CA999999NCI NIH HHSNIH HHSOak Ridge Institute for Science and EducationUS Department of Energy
6 · The paper itself

Abstract

backgroundSecond or later primary cancers account for approximately 20% of incident cases in the United States. Currently, cause-specific survival (CSS) analyses exclude these cancers because the cause of death (COD) classification algorithm was available only for first cancers. The authors added rules for later cancers to the Surveillance, Epidemiology, and End Results cause-specific death classification algorithm and evaluated CSS to include individuals with prior tumors.

methodsThe authors constructed 2 cohorts: 1) the first ever primary cohort, including patients whose first cancer was diagnosed during 2000 through 2016) and 2) the earliest matching primary cohort, including patients with any cancer who matched the selection criteria irrespective of whether it was the first or a later cancer diagnosed during 2000 through 2016. The cohorts' CSS estimates were compared using follow-up through December 31, 2017. The new rules were used in the second cohort for patients whose first cancers during 2000 through 2016 were their second or later cancers.

resultsOverall, there were no statistically significant differences in CSS estimates between the 2 cohorts. Estimates were similar by age, stage, race, and time since diagnosis, except for patients with leukemia and those aged 65 to 74 years (3.4 percentage point absolute difference).

conclusionsThe absolute difference in CSS estimates for the first cancer ever cohort versus earliest of any cancers cohort in the study period was small for most cancer types. As the number of newly diagnosed patients with prior cancers increases, the algorithm will make CSS more inclusive and enable estimating survival for a group of patients with cancer for whom life tables are not available or life tables are available but do not capture other-cause mortality appropriately.

Indexed as

NeoplasmsAgedCause of DeathCohort StudiesHumansRegistriesSEER ProgramUnited Statesalgorithmscause of deathfrailtylife tablesmultiple primaryneoplasmsSurveillance, Epidemiology and End Results (SEER) programsurvival analysis

Identifiers

PMID34623641
PMCPMC8776580

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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.