Evidence map›Paper›PMID 34271862›Full record

ArticleBMC cancer2021

Trends in survival from myeloma, 1990-2015: a competing risks analysis.

Mary Jane Sneyd, Andrew R Gray, Ian M Morison

Abstract readHistorical Article
In one paragraph

Article in BMC cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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

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

  1. 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

3 authors.

Mary Jane SneydHugh Adam Cancer Epidemiology Unit, Department of Preventive and Social Medicine, University of Otago, PO Box 56, Dunedin, 9054, New Zealand. mary-jane.sneyd@otago.ac.nz.
Andrew R GrayBiostatistics Centre, University of Otago, Dunedin, New Zealand.
Ian M MorisonDepartment of Pathology, University of Otago, Dunedin, New Zealand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMyeloma survival has greatly increased over past decades. We investigated trends in survival over time in New Zealand by age, ethnicity, and geography and thus examined potential inequalities among these population subgroups.

methodsFrom data supplied by the New Zealand Ministry of Health, all new diagnoses of multiple myeloma (ICD-10 code C90) between 1990 and 2016 were extracted, as well as their matched mortality data. Cox's proportional hazards regression and competing risks regression were used to estimate multivariable survival functions.

resultsBetween 1 January 1990 and 1 December 2015, 6642 myeloma cases were registered by the New Zealand Cancer Registry. Although survival from myeloma increased substantially from 1990-1994 to 2010-2015, 5-year survival was still only about 60% in 2010-2015. The greatest improvement in survival was for people aged 60-69 years at diagnosis. Using Cox's proportional hazards regression, Māori showed an increased risk of myeloma death but this was predominantly due to differences in competing risks among ethnic groups. Competing risks analysis found the greatest improvement in myeloma survival in Pacific Islanders, and in 2010-2015 Māori had better survival than other ethnicities. Myeloma survival improved significantly over time in all regional health authorities but in all time periods the Central and Southern regions had significantly poorer survival than the Midland region.

conclusionsImprovements in myeloma survival have been unequal across subgroups and regions in New Zealand. Detailed information about utilization of chemotherapeutic agents and transplantation in New Zealand is not available. This information, as well as more detailed hematological data, is essential to further explore the relationships and reasons for differing myeloma survival in population subgroups of New Zealand.

Indexed as

AgedAged, 80 and overFemaleHistory, 21st CenturyHumansMaleMiddle AgedMultiple MyelomaRisk FactorsSurvival AnalysisCompeting risk regressionMyelomaSurvival

Identifiers

PMID34271862
PMCPMC8283947

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Registered trials

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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.