Evidence map›Paper›PMID 22328050›Full record

ArticleWiener medizinische Wochenschrift (1946)2012

Evaluation of diagnostic and treatment approaches towards acute dyspnea in a palliative care setting among medical students at the University of Vienna.

Gudrun Pohl, Christine Marosi, Karin Dieckmann, Gregor Goldner, Katarzyna Elandt, Marco Hassler, Michael Schemper, Kathrin Strasser-Weippl, Friedemann Nauck, Jan Gaertner and 1 more

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In one paragraph

Article in Wiener medizinische Wochenschrift (1946), 2012. 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, top 60% 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

0 citing papers in PubMed, 3 citations in OpenAlex.

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

11 authors at 6 institutions in 2 countries.

Gudrun PohlDepartment of Internal Medicine, Hospital Krems, Krems, Austria. gudrunpohl@gmx.at
Christine Marosi
Karin Dieckmann
Gregor Goldner
Katarzyna Elandt
Marco Hassler
Michael Schemper
Kathrin Strasser-Weippl
Friedemann Nauck
Jan Gaertner
Herbert Watzke
Medical University of Vienna · ATStatistics Austria · ATUniversitätsklinikum Krems · ATUniversity Hospital Cologne · DEUniversity of Göttingen · DEWilhelminen Hospital · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDyspnea is common in advanced cancer patients with opioids as first line treatment.

objectivesTo evaluate the level of knowledge about diagnosis and treatment of dyspnea in palliative care patients among 4th year students.

methodsA case report was distributed to the students describing acute dyspnea in a lung cancer patient. Students were asked to rank their diagnosis and treatment options by importance.

results633 medical students in their 4th year attended a seminar about palliative care. Of these, 423 (77%) completed the case report. The most frequent diagnostic option was measuring patient's oxygen saturation (n = 388), followed by auscultation (n = 339). As treatment options, students chose the delivery of oxygen (n = 393) as most important. The application of opioids was suggested by a total of 138 students.

conclusionAlthough students did not have practical skills in treating advanced cancer patients with acute dyspnea, 32.6% would suggest an opioid as treatment option.

Indexed as

AuscultationClinical CompetenceOxygen Inhalation TherapyStudents, MedicalAcute DiseaseAlgorithmsAnalgesics, OpioidDyspneaEducational MeasurementHumansLung NeoplasmsNeoplasm StagingOxygenPalliative CareSurveys and QuestionnairesUniversitiesAnalgesics, OpioidOxygen

Identifiers

PMID22328050
OpenAlexW2460173699

What OpenQuestion holds

Textmetadata
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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.