Evidence mapPaperPMID 40448093Full record

SynthesisBMC public health2025

Mortality and hospitalization in contaminated sites with petrochemical and steel plants: a meta-regression ecological study.

Fabrizio Minichilli, Elisa Bustaffa, Valerio Manno, Marta Benedetti, Paolo Contiero, Ivano Iavarone, Alice Maraschini, Giada Minelli, Roberto Pasetto, Paolo Ricci and 2 more

Abstract readMeta-Analysis
In one paragraph

Synthesis in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Fabrizio MinichilliInstitute of Clinical Physiology, National Research Council, Pisa, Italy. fabrizio.minichilli@cnr.it.
Elisa BustaffaInstitute of Clinical Physiology, National Research Council, Pisa, Italy.
Valerio MannoStatistical Service, Istituto Superiore di Sanità, Roma, Italy.
Marta BenedettiDepartment of Environment and Health, Istituto Superiore di Sanità, Roma, Italy.
Paolo ContieroEnvironmental Epidemiology Unit, Fondazione IRCCS Istituto Tumori, Milano, Italy.
Ivano IavaroneDepartment of Environment and Health, Istituto Superiore di Sanità, Roma, Italy.
Alice MaraschiniStatistical Service, Istituto Superiore di Sanità, Roma, Italy.
Giada MinelliStatistical Service, Istituto Superiore di Sanità, Roma, Italy.
Roberto PasettoDepartment of Environment and Health, Istituto Superiore di Sanità, Roma, Italy.
Paolo RicciEpidemiology Unit, ATS Val Padana, Mantova, Italy.
Amerigo ZonaDepartment of Environment and Health, Istituto Superiore di Sanità, Roma, Italy.
Lucia FazzoDepartment of Environment and Health, Istituto Superiore di Sanità, Roma, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundContaminated sites are among the main worldwide environmental health priorities. The health impact on population living in Italian contaminated sites of national concern for remediation (CSs) with petrochemical/refineries (P&R) and steel plants (S) was estimated. Since these CSs include the major Italian facilities located widespread on the territory are representative of the national reality. Furthermore, the population exposed in P&R and S is significant since it represents about 3% of the national population.

methodsTwo groups of CSs were defined: twelve CSs with P&R and eight with S. Cause-specific mortality (2013-2017) and hospitalization (2014-2018) in both groups were analysed. Pooled Standardized Mortality/Hospitalization Ratios (SMR

resultsIn the two CSs groups, the overall and the main causes mortality and hospitalization, including all cancers, exceeded in both sexes. Specifically, for lung cancer in the P&R group, among males SMR

conclusionsThe results suggest that living in petrochemical/refineries and steel plants CSs is associated with increased risk for specific diseases. The meta-analytical estimates could contribute to assess the order of magnitude of health impacts of contaminated sites and to perform integrated evaluation of health and environmental impact.

Indexed as

Environmental ExposureHospitalizationMetallurgyMortalityOil and Gas IndustrySteelAdolescentAdultChildChild, PreschoolFemaleHumansInfantInfant, NewbornItalyMaleSteelContaminated sitesGlobal health riskHealth impactHospitalizationMeta-regression analysisMortalityPetrochemicalRefineriesRisk functionsSteel plants

Identifiers

PMID40448093
PMCPMC12124001

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.