Evidence map›Paper›PMID 37107804›Full record

Observational studyInternational journal of environmental research and public health2023

No Excess of Mortality from Lung Cancer during the COVID-19 Pandemic in an Area at Environmental Risk: Results of an Explorative Analysis.

Francesco Addabbo, Massimo Giotta, Antonia Mincuzzi, Aldo Sante Minerba, Rosa Prato, Francesca Fortunato, Nicola Bartolomeo, Paolo Trerotoli

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in International journal of environmental research and public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.8field-weighted citation impact, top 13% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  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

8 authors at 3 institutions in 1 country.

Francesco AddabboSchool of Medical Statistics and Biometry, University of Bari Aldo Moro, Azienda Sanitaria Locale Taranto, 74121 Taranto, Italy.
Massimo GiottaSchool of Medical Statistics and Biometry, Department of Interdisciplinary Medicine, University of Bari Aldo Moro, 70124 Bari, Italy.ORCID 0000-0002-7041-7851
Antonia MincuzziUnit of Statistics and Epidemiology, Azienda Sanitaria Locale Taranto, 74121 Taranto, Italy.
Aldo Sante MinerbaUnit of Statistics and Epidemiology, Azienda Sanitaria Locale Taranto, 74121 Taranto, Italy.
Rosa PratoHygiene Unit, Policlinico Riuniti Foggia Hospital, Department of Medical and Surgical Sciences, University of Foggia, 71122 Foggia, Italy.
Francesca FortunatoHygiene Unit, Policlinico Riuniti Foggia Hospital, Department of Medical and Surgical Sciences, University of Foggia, 71122 Foggia, Italy.ORCID 0000-0003-0665-5385
Nicola BartolomeoDepartment of Interdisciplinary Medicine, University of Bari Aldo Moro, 70124 Bari, Italy.ORCID 0000-0002-8540-4615
Paolo TrerotoliDepartment of Interdisciplinary Medicine, University of Bari Aldo Moro, 70124 Bari, Italy.ORCID 0000-0001-7102-9108
ASL Roma · ITUniversity of Bari Aldo Moro · ITUniversity of Foggia · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic and the restrictive measures associated with it placed enormous pressure on health facilities and may have caused delays in the treatment of other diseases, leading to increases in mortality compared to the expected rates. Areas with high levels of air pollution already have a high risk of death from cancer, so we aimed to evaluate the possible indirect effects of the pandemic on mortality from lung cancer compared to the pre-pandemic period in the province of Taranto, a polluted site of national interest for environmental risk in the south of Italy.

methodsWe carried out a retrospective observational study on lung cancer data (ICD-10: C34) from the Registry of Mortality (ReMo) for municipalities in Taranto Province over the period of 1 January 2011 to 31 December 2021. Seasonal exponential smoothing, Holt-Winters additive, Holt-Winters multiplicative, and auto-regressive integrated moving average (ARIMA) models were used to forecast the number of deaths during the pandemic period. Data were standardized by sex and age via an indirect method and shown as monthly mortality rates (MRs), standardized mortality ratios (SMRs), and adjusted mortality rates (AMRs).

resultsIn Taranto Province, 3108 deaths from lung cancer were recorded between 2011 and 2021. In the province of Taranto, almost all of the adjusted monthly mortality rates during the pandemic were within the confidence interval of the predicted rates, with the exception of significant excesses in March (+1.82, 95% CI 0.11-3.08) and August 2020 (+2.09, 95% CI 0.20-3.44). In the municipality of Taranto, the only significant excess rate was in August 2020 (+3.51, 95% CI 0.33-6.69). However, in total, in 2020 and 2021, the excess deaths from lung cancer were not significant both for the province of Taranto (+30 (95% CI -77; +106) for 2020 and +28 (95% CI -130; +133) for 2021) and for the municipality of Taranto alone (+14 (95% CI -47; +74) for 2020 and -2 (95% CI -86; +76) for 2021).

conclusionsThis study shows that there was no excess mortality from lung cancer as a result of the COVID-19 pandemic in the province of Taranto. The strategies applied by the local oncological services during the pandemic were probably effective in minimizing the possible interruption of cancer treatment. Strategies for accessing care in future health emergencies should take into account the results of continuous monitoring of disease trends.

Indexed as

Air PollutionCOVID-19Lung NeoplasmsHumansItalyMortalityPandemicsRetrospective StudiesCOVID-19environmental risk areaexcess mortalityforecasting modellung cancer

Identifiers

PMID37107804
PMCPMC10138515
OpenAlexW4365509869

What OpenQuestion holds

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LicenceCC BY
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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.