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Record W2794463525 · doi:10.1183/13993003.02606-2017

Risk assessment in pulmonary arterial hypertension

2018· letter· en· W2794463525 on OpenAlexfundno aff
Marius M. Hoeper, David Pittrow, Christian Opitz, J. Simon R. Gibbs, Stephan Rosenkranz, Ekkehard Grünig, Karen M. Olsson, Dörte Huscher

Bibliographic record

VenueEuropean Respiratory Journal · 2018
Typeletter
Languageen
FieldMedicine
TopicPulmonary Hypertension Research and Treatments
Canadian institutionsnot available
FundersDeutsche ForschungsgemeinschaftCanadian Thoracic SocietyActelion PharmaceuticalsEuropean Respiratory SocietyGlaxoSmithKline
KeywordsMedicineRisk assessmentInternal medicineRisk stratificationNatriuretic peptideCardiologyIntensive care medicineHeart failure

Abstract

fetched live from OpenAlex

In its August 2017 issue, the European Respiratory Journal published two papers on risk assessment in pulmonary arterial hypertension (PAH), one coming from the French registry [1], the other from COMPERA, a European pulmonary hypertension (PH) registry [2]. Both groups utilised abbreviated versions of the risk assessment strategy proposed in the current European PH guidelines [3, 4] and both included basically the same variables, i.e. World Health Organization functional class (FC), 6-min walking distance (6MWD), cardiac index, right atrial pressure and serum levels of brain natriuretic peptide (BNP) or the N-terminal fragment of its propeptide (NT-proBNP). In both studies, the cut-off values used to determine risk were those proposed in the European guidelines [3, 4]. However, the strategy to determine individual risk differed in the two studies: COMPERA calculated the average individual risk by assigning a score of 1, 2 or 3 to each criterion (1: low risk; 2; intermediate risk; 3: high risk) and rounding to the mean of the available variables, as had been previously proposed by a group from Sweden [5]. The French group, in contrast, looked at the number of variables that met the low-risk criteria. Despite these differences, the main results of both studies were similar, especially 1) that the risk stratification tool proposed by the European guidelines adequately predicted mortality, 2) that follow-up risk assessment on treatment was a more reliable predictor of survival than the initial risk assessment at the time of diagnosis, and 3) that FC, 6MWD and BNP/NT-proBNP at follow-up were independent predictors of outcome. However, there also were important differences in the two analyses: in the French study, 19% of the patients with idiopathic PAH (IPAH) met all three noninvasive low-risk criteria at follow-up, i.e. FC I or II, 6MWD >440 m, BNP <50 ng·L−1 or NT-proBNP <300 ng·L−1; these patients had a 1-year survival of 100% and a 5-year survival of 97%. In COMPERA, 21% of the IPAH patients were classified as low risk at follow-up; these patients had a 1-year survival of 96% but the 5-year survival of these patients was only 72% (data available in the online supplement of [2]). We wondered whether the differences in long-term survival were due to the fact that the low-risk definition was less strict with the COMPERA strategy than with the French strategy or whether differences in the two patient cohorts were responsible for these findings (patients in French cohort were younger than the patients in COMPERA and combinations of PAH drugs were used more frequently in the French series than in the COMPERA cohort). PAH patients reaching a low risk profile with targeted therapies have an excellent long-term survival <http://ow.ly/RBjo30i6N57> The authors are indebted to the COMPERA investigators.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.590
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.007
Insufficient payload (model declined to judge)0.0010.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.049
GPT teacher head0.306
Teacher spread0.257 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreCommentary

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations92
Published2018
Admission routes1
Has abstractyes

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