Evidence map›Paper›PMID 31798366›Full record

ArticleEuropean journal of ageing2019

Association of endemic goitre and exceptional longevity in Sardinia: evidence from an ecological study.

Francesco Tolu, Mario Palermo, Maria Pina Dore, Alessandra Errigo, Ana Canelada, Michel Poulain, Giovanni Mario Pes

Abstract read
In one paragraph

Article in European journal of ageing, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Spatial Association between Gastric Cancer Mortality and Goiter in Sardinia.Asian Pacific journal of cancer prevention : APJCP · 2021
    Article
  6. Review
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

7 authors.

Francesco Tolu1S.C. di Endocrinologia, Malattie della Nutrizione e del Ricambio - Azienda Ospedaliero-Universitaria di Sassari, Viale San Pietro 43, Sassari, Italy.
Mario Palermo1S.C. di Endocrinologia, Malattie della Nutrizione e del Ricambio - Azienda Ospedaliero-Universitaria di Sassari, Viale San Pietro 43, Sassari, Italy.
Maria Pina Dore2Department of Medical, Surgical and Experimental Medicine, University of Sassari, Sassari, Italy.
Alessandra Errigo3Azienda Ospedaliero-Universitaria di Sassari, Sassari, Italy.
Ana Canelada4Departamento de Medicina Preventiva y Salud Pública e Historia de la Ciencia, Universidad de Màlaga, Màlaga, Spain.
Michel Poulain5Estonian Institute for Population Studies, Tallinn University, Tallinn, Estonia.
Giovanni Mario Pes2Department of Medical, Surgical and Experimental Medicine, University of Sassari, Sassari, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aims to test the hypothesis that a high prevalence of endemic goitre, considered as a proxy measure for subclinically reduced thyroid function in the population, is geographically associated with exceptional longevity. Using historical data available for 377 Sardinian municipalities in the first half of the twentieth century, we performed an ecological study to investigate the geographic distribution of goitre and its spatial association with demographic indicators of population longevity. This analysis was conducted by using both conventional ordinary least square and geographically weighted regression models to take into account spatial autocorrelation and included other longevity-associated factors previously identified in Sardinia. The spatial analysis revealed that the goitre rate (

Indexed as

CentenariansEndemic goitreExtreme longevityIodine deficiencySardinia

Identifiers

PMID31798366
PMCPMC6857103

What OpenQuestion holds

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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.