Evidence map›Paper›PMID 36121817›Full record

ArticlePloS one2022

Low antithrombin levels are associated with low risk of cardiovascular death but are a risk factor for cancer mortality.

Licia Iacoviello, Romy de Laat-Kremers, Simona Costanzo, Qiuting Yan, Augusto Di Castelnuovo, Lisa van der Vorm, Amalia De Curtis, Marisa Ninivaggi, Chiara Cerletti, Maria Benedetta Donati and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Article
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 at 5 institutions in 2 countries.

Licia IacovielloDepartment of Epidemiology and Prevention, IRCCS Neuromed, Pozzilli, Italy.
Romy de Laat-KremersDepartment of Data Analysis and Artificial Intelligence, Synapse Research Institute, Maastricht, The Netherlands.ORCID 0000-0001-6526-0338
Simona CostanzoDepartment of Epidemiology and Prevention, IRCCS Neuromed, Pozzilli, Italy.ORCID 0000-0003-4569-1186
Qiuting YanDepartment of Functional Coagulation, Synapse Research Institute, Maastricht, The Netherlands.
Augusto Di CastelnuovoMediterranea Cardiocentro, Napoli, Italy.
Lisa van der VormDepartment of Functional Coagulation, Synapse Research Institute, Maastricht, The Netherlands.
Amalia De CurtisDepartment of Epidemiology and Prevention, IRCCS Neuromed, Pozzilli, Italy.
Marisa NinivaggiDepartment of Functional Coagulation, Synapse Research Institute, Maastricht, The Netherlands.
Chiara CerlettiDepartment of Epidemiology and Prevention, IRCCS Neuromed, Pozzilli, Italy.
Maria Benedetta DonatiDepartment of Epidemiology and Prevention, IRCCS Neuromed, Pozzilli, Italy.
Bas de LaatDepartment of Data Analysis and Artificial Intelligence, Synapse Research Institute, Maastricht, The Netherlands.
Moli-sani Investigators
Istituto Neurologico Mediterraneo · ITMaastricht University · NLSynapse (Netherlands) · NLClinica Mediterranea · ITUniversity of Insubria · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThrombosis is common in subjects suffering from cardiovascular diseases (CVD) and cancer. Hypercoagulation plays a pivotal role in the pathophysiology of thrombosis. Therefore, the inactivation of thrombin, the key enzyme in coagulation, is tightly regulated via antithrombin (AT). AT deficiency is related to thrombosis and cardiovascular death. In this study we investigated the association between AT levels and mortality, in particularly cardiovascular-related and cancer-related death in the general population.

methodsWe studied the association of AT levels and mortality in a prospective cohort sampled from the general Italian population (n = 19,676). AT levels were measured in the baseline samples, and mortality was recorded during a median follow-up period of 8.2 years. Cox regression was performed to investigate the association of all-cause, CVD-related and cancer-related mortality with variations in AT levels.

resultsIn total, 989 subjects died during follow-up, of which 373 subjects of CVD and 353 of cancer-related causes. Cox analysis revealed that, after adjustment for age, sex, current smoking, BMI, diabetes, hypertension, hypercholesterolemia, history of cardiovascular disease, history of cancer, vitamin K antagonists, antiplatelet medication, heparin and oral contraceptives AT levels were not associated with all-cause mortality (HRQ1vsQ5: 0.92, 95% CI:0.74-1.15). Interestingly, the risk of CVD-related mortality was reduced in subjects with low AT levels compared to subjects with higher AT levels, after adjustment for age and sex and other confounders did not change the association (HRQ1vsQ5: 0.64, 95% CI:0.44-0.91). Moreover, low AT levels were associated with increased cancer mortality in a fully adjusted model (HRQ1vsQ2-5: 1.26, 95% CI:0.88-1.81).

conclusionsLow AT levels are associated to a lower risk of fatal cardiovascular events in the general population, regardless of age, sex and medication use. In contrast, low AT levels are associated with lower cancer survival. For the first time we show that AT levels lower than the normal range in the general population, even before the development or diagnosis of cancer, are associated with an elevated risk of cancer death.

Indexed as

Cardiovascular DiseasesNeoplasmsAntithrombinsContraceptives, OralHeparinHumansProspective StudiesRisk FactorsThrombinVitamin KAntithrombinsContraceptives, OralHeparinThrombinVitamin K

Identifiers

PMID36121817
PMCPMC9484666
OpenAlexW4296323743

What OpenQuestion 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 OpenQuestion graph.