Evidence map›Paper›PMID 40448727›Full record

Observational studyWiener klinische Wochenschrift2025

Symptom tracking made simple? Observational data on the clinical use of the PERS

Katharina Tscherny, Juergen Grafeneder, Bettina Wandl, Maximilian Niederer, Martina Haider, Eva Katharina Masel, Dominik Roth, Alexander Egger

Abstract readObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in Wiener klinische Wochenschrift, 2025. 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
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.

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

8 authors.

Katharina TschernyDepartment of Anesthesiology and Intensive Care Medicine, Hospital Scheibbs, Eisenwurzenstraße 26, 3270, Scheibbs, Austria.
Juergen GrafenederDepartment of Emergency Medicine, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria.
Bettina WandlDepartment of Emergency Medicine, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria.
Maximilian NiedererDepartment of Anesthesiology and Intensive Care Medicine, Hospital Scheibbs, Eisenwurzenstraße 26, 3270, Scheibbs, Austria.
Martina HaiderDepartment of Anesthesiology and Intensive Care Medicine, Hospital Scheibbs, Eisenwurzenstraße 26, 3270, Scheibbs, Austria.
Eva Katharina MaselDepartment of Medicine I, Division of Palliative Medicine, Medical University of Vienna, Vienna, Austria.
Dominik RothDepartment of Emergency Medicine, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria. dominik.roth@meduniwien.ac.at.
Alexander EggerDepartment of Anesthesiology and Intensive Care Medicine, Hospital Scheibbs, Eisenwurzenstraße 26, 3270, Scheibbs, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextA standardized assessment of symptoms is essential for individualized palliative care (PC). While numerous tools exist, many are too complex for daily clinical use.

objectiveThe PERS

methodsPatients admitted to the palliative care unit of a rural hospital were assessed using the PERS

resultsOf 60 admitted patients, 40 met the inclusion criteria. Reassessment was possible in 35 patients after 7 days and in 31 patients at discharge. The mean PERS

conclusionThe PERS

Indexed as

NeoplasmsPalliative CareSymptom AssessmentAgedAged, 80 and overFeasibility StudiesFemaleHumansMaleMiddle AgedPrevalenceReproducibility of ResultsSensitivity and SpecificityCancerEnd-of-life carePalliative careSelf-assessment questionnaireSymptom assessment

Identifiers

PMID40448727
PMCPMC12176993

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.