Evidence map›Paper›PMID 41026181›Full record

ReviewDie Anaesthesiologie2025

[Neuraxial anesthesia procedures in the perioperative management of pulmonary hypertension : A literature review with two case reports].

Danilo Hackner, Dorothea Lange, Caroline Gräfe, Joachim Andrassy, Dionysios Koliogiannis, Patrick Scheiermann

Abstract readCase ReportsReviewEnglish Abstract
In one paragraph

Review in Die Anaesthesiologie, 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

6 authors.

Danilo HacknerKlinik für Anaesthesiologie, LMU Klinikum München, Marchioninistr. 15, 81377, München, Deutschland.
Dorothea LangeKlinik für Anaesthesiologie, LMU Klinikum München, Marchioninistr. 15, 81377, München, Deutschland.
Caroline GräfeKlinik für Anaesthesiologie, LMU Klinikum München, Marchioninistr. 15, 81377, München, Deutschland.
Joachim AndrassyKlinik für Allgemein‑, Viszeral- und Transplantationschirurgie, LMU Klinikum München, München, Deutschland.
Dionysios KoliogiannisKlinik für Allgemein‑, Viszeral- und Transplantationschirurgie, LMU Klinikum München, München, Deutschland.
Patrick ScheiermannKlinik für Anaesthesiologie, LMU Klinikum München, Marchioninistr. 15, 81377, München, Deutschland. patrick.scheiermann@med.uni-muenchen.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPulmonary hypertension (PH) is associated with a substantial increase in perioperative morbidity and mortality.

objectivePerioperative management of pulmonary hypertension according to current data. MATERIAL AND

methodsAnalysis of the current literature, presentation and discussion of basic research and expert recommendations as well as presentation of two case reports.

resultsThere is a lack of reliable and high-quality literature. A precise preoperative risk evaluation and individual treatment planning are mandatory for patients with PH.

conclusionSpinal anesthesia, thoracic epidural anesthesia or a combination of both can be an alternative to general anesthesia in patients with a high preoperative risk profile. A differentiated vasopressor and inotropic treatment is necessary to maintain physiological target parameters in PH. The early referral to a center with appropriate expertise is recommended in PH.

Indexed as

Anesthesia, EpiduralAnesthesia, SpinalHypertension, PulmonaryPerioperative CareHumansAnaesthesia in high risk patientsAnaesthesia risk managementCombined spinal-epidural anaesthesia (CSE)

Identifiers

PMID41026181
PMCPMC12552308

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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.