Evidence map›Paper›PMID 34167516›Full record

ArticleBMC cancer2021

Cancer incidence and mortality trends in France over 1990-2018 for solid tumors: the sex gap is narrowing.

G Defossez, Z Uhry, P Delafosse, E Dantony, T d'Almeida, S Plouvier, N Bossard, A M Bouvier, F Molinié, A S Woronoff and 5 more

Open access · goldAbstract 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 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
5.7field-weighted citation impact, top 2% of its field
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

35 citing papers in PubMed, 78 citations in OpenAlex.

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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

15 authors at 10 institutions in 1 country.

G DefossezRegistre général des cancers de Poitou-Charentes, Pôle Biologie, Pharmacie et Santé Publique, CHU de Poitiers, Poitiers, France. gautier.defossez@univ-poitiers.fr.
Z UhryDirection des Maladies Non Transmissibles et des Traumatismes, Santé publique France, Saint-Maurice, France.
P DelafosseRéseau français des registres des cancers, Francim, Toulouse, France.
E DantonyService de Biostatistique-Bioinformatique, Pôle Santé Publique, Hospices Civils de Lyon, Lyon, France.
T d'AlmeidaRéseau français des registres des cancers, Francim, Toulouse, France.
S PlouvierRéseau français des registres des cancers, Francim, Toulouse, France.
N BossardService de Biostatistique-Bioinformatique, Pôle Santé Publique, Hospices Civils de Lyon, Lyon, France.
A M BouvierRéseau français des registres des cancers, Francim, Toulouse, France.
F MoliniéRéseau français des registres des cancers, Francim, Toulouse, France.
A S WoronoffRéseau français des registres des cancers, Francim, Toulouse, France.
M ColonnaRéseau français des registres des cancers, Francim, Toulouse, France.
P GrosclaudeRéseau français des registres des cancers, Francim, Toulouse, France.
L RemontetService de Biostatistique-Bioinformatique, Pôle Santé Publique, Hospices Civils de Lyon, Lyon, France.
A MonnereauRéseau français des registres des cancers, Francim, Toulouse, France.
French Network of Cancer Registries (FRANCIM)
Centre Hospitalier Universitaire de Grenoble · FRUniversité de Bourgogne · FRUniversité Claude Bernard Lyon 1 · FRCentre Hospitalier Universitaire de Limoges · FRCentre Hospitalier Universitaire de Nantes · FRRegistre général des cancers de Lille et de sa région · FRInserm · FRInstitut universitaire du cancer de Toulouse Oncopole · FRInstitut Claudius Regaud · FRUniversité de Bordeaux · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo analyze trends in cancer incidence and mortality (France, 1990-2018), with a focus on men-women disparities.

methodsIncidence data stemmed from cancer registries (FRANCIM) and mortality data from national statistics (CépiDc). Incidence and mortality rates were modelled using bidimensional penalized splines of age and year (at diagnosis and at death, respectively). Trends in age-standardized rates were summarized by the average annual percent changes (AAPC) for all-cancers combined, 19 solid tumors, and 8 subsites. Sex gaps were indicated using male-to-female rate ratios (relative difference) and male-to-female rate differences (absolute difference) in 1990 and 2018, for incidence and mortality, respectively.

resultsFor all-cancers, the sex gap narrowed over 1990-2018 in incidence (1.6 to 1.2) and mortality (2.3 to 1.7). The largest decreases of the male-to-female incidence rate ratio were for cancers of the lung (9.5 to 2.2), lip - oral cavity - pharynx (10.9 to 3.1), esophagus (12.6 to 4.5) and larynx (17.1 to 7.1). Mixed trends emerged in lung and oesophageal cancers, probably explained by differing risk factors for the two main histological subtypes. Sex incidence gaps narrowed due to increasing trends in men and women for skin melanoma (0.7 to 1, due to initially higher rates in women), cancers of the liver (7.4 to 4.4) and pancreas (2.0 to 1.4). Sex incidence gaps narrowed for colon-rectum (1.7 to 1.4), urinary bladder (6.9 to 6.1) and stomach (2.7 to 2.4) driven by decreasing trends among men. Other cancers showed similar increasing incidence trends in both sexes leading to stable sex gaps: thyroid gland (0.3 to 0.3), kidney (2.2 to 2.4) and central nervous system (1.4 to 1.5).

conclusionIn France in 2018, while men still had higher risks of developing or dying from most cancers, the sex gap was narrowing. Efforts should focus on avoiding risk factors (e.g., smoking) and developing etiological studies to understand currently unexplained increasing trends.

Indexed as

FemaleGender IdentityHistory, 20th CenturyHistory, 21st CenturyHumansIncidenceMaleNeoplasmsCancerIncidenceMortalityRegistriesSexTrends

Identifiers

PMID34167516
PMCPMC8223369
OpenAlexW3175451829

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.