Evidence map›Paper›PMID 28676115›Full record

Observational studyBMC cardiovascular disorders2017

Pro-Adrenomedullin predicts 10-year all-cause mortality in community-dwelling patients: a prospective cohort study.

Jonas Odermatt, Marc Meili, Lara Hersberger, Rebekka Bolliger, Mirjam Christ-Crain, Matthias Briel, Heiner C Bucher, Beat Mueller, Philipp Schuetz

Open access · goldAbstract readMulticenter StudyObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in BMC cardiovascular disorders, 2017. 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
1.7field-weighted citation impact, top 18% 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

6 citing papers in PubMed, 25 citations in OpenAlex.

  1. Review
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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

9 authors at 2 institutions in 2 countries.

Jonas OdermattDepartment of Endocrinology, Diabetology and Metabolism, Medical University Clinic, Kantonsspital Aarau and University of Basel, Switzerland, Tellstrasse, CH-5001, Aarau, Switzerland.
Marc MeiliDepartment of Endocrinology, Diabetology and Metabolism, Medical University Clinic, Kantonsspital Aarau and University of Basel, Switzerland, Tellstrasse, CH-5001, Aarau, Switzerland.
Lara HersbergerDepartment of Endocrinology, Diabetology and Metabolism, Medical University Clinic, Kantonsspital Aarau and University of Basel, Switzerland, Tellstrasse, CH-5001, Aarau, Switzerland.
Rebekka BolligerDepartment of Endocrinology, Diabetology and Metabolism, Medical University Clinic, Kantonsspital Aarau and University of Basel, Switzerland, Tellstrasse, CH-5001, Aarau, Switzerland.
Mirjam Christ-CrainDepartment of Endocrinology, Diabetology and Metabolism, Department of Clinical Research, University Hospital Basel, Basel, Switzerland.
Matthias BrielDepartment of Clinical Research, Basel Institute for Clinical Epidemiology and Biostatistics, University Hospital Basel, Basel, Basel-Stadt, Switzerland.
Heiner C BucherDepartment of Clinical Research, Basel Institute for Clinical Epidemiology and Biostatistics, University Hospital Basel, Basel, Basel-Stadt, Switzerland.
Beat MuellerDepartment of Endocrinology, Diabetology and Metabolism, Medical University Clinic, Kantonsspital Aarau and University of Basel, Switzerland, Tellstrasse, CH-5001, Aarau, Switzerland.
Philipp SchuetzDepartment of Endocrinology, Diabetology and Metabolism, Medical University Clinic, Kantonsspital Aarau and University of Basel, Switzerland, Tellstrasse, CH-5001, Aarau, Switzerland. schuetzph@gmail.com.ORCID 0000-0001-6400-4949
University of Basel · CHUniversity Hospital of Basel · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSeveral studies found mid-regional pro-adrenomedullin (ProADM), the prohormone of the cardiovascular protein adrenomedullin, to be strongly associated with short-term mortality, mostly in the inpatient setting. We evaluated associations of ProADM levels with 10-year mortality in community-dwelling primary care patients with respiratory tract infections.

methodsThis is a post-hoc analysis using clinical and biomarker data of 134 primary care patients with respiratory tract infections. ProADM was measured on admission and after 7 days in batch-analysis. 10-year follow-up data was collected by GP, patient and relative tracing through phone interviews. We calculated Cox regression models and area under the receiver operating characteristics curves to assess associations of ProADM with 10-year all-cause mortality.

resultsDuring the 10-year follow-up 6% of included patients died. Median baseline ProADM blood levels (nmol/l) were significantly higher in non-survivors compared to survivors (0.5, IQR 0.4-1.3; vs. 0.2, IQR 0.1-0.5; p = 0.02) and showed a significant association with 10-year all-cause mortality in an age-adjusted cox regression model (HR: 2.5, 95%-CI: 1.0-6.1, p = 0.04). ProADM levels on day 7 showed similar results.

conclusionsThis posthoc analysis found an association of elevated ProADM blood levels and 10-year all-cause mortality in a primary care cohort with respiratory tract infections. Due to the methodological limitations including incomplete data regarding follow-up information and biomarker measurement, this study warrants validation in future larger studies.

trial registrationCurrent Controlled Trials, SRCTN73182671.

Indexed as

Independent LivingAdrenomedullinAdultAgedAged, 80 and overArea Under CurveBiomarkersCause of DeathFemaleHumansKaplan-Meier EstimateMaleMiddle AgedMultivariate AnalysisPredictive Value of TestsPrimary Health CareAdrenomedullinBiomarkersproadrenomedullinProtein Precursors10-year follow-upOutcomePrimary carePro-Adrenomedullin

Identifiers

PMID28676115
PMCPMC5496393
OpenAlexW2731787840

What OpenQuestion holds

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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.