Evidence map›Paper›PMID 24619039›Full record

ArticleZeitschrift fur Gerontologie und Geriatrie2014

[Perioperative risk assessment of geriatric patients undergoing noncardiac surgery].

S Beck, C Büchi, P Lauber, D Grob, C Meier

Abstract readEnglish Abstract
PubMed Publisher
In one paragraph

Article in Zeitschrift fur Gerontologie und Geriatrie, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 27% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. [Aortic valve replacement in the elderly].Zeitschrift fur Gerontologie und Geriatrie · 2016
    Review
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

5 authors at 1 institution in 1 country.

S BeckKlinik für Akutgeriatrie, Zentrum für Gerontotraumatologie, Stadtspital Waid, Tièchestr. 99, 8037, Zürich, Schweiz, sacha.beck@waid.zuerich.ch.
C Büchi
P Lauber
D Grob
C Meier
Stadtspital Waid · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOlder patients more often suffer perioperative complications than younger people. Especially geriatric patients who require emergency treatment represent a high-risk group. Therefore, perioperative risk assessment supports the treatment team in identifying patients at risk and in defining the treatment plan accordingly. MATERIALS AND

methodsA thorough medical history and clinical examination are pivotal elements of any risk stratification. The organ-specific risk assessment is primarily used to plan the surgical and anesthesiological procedures.

resultsFor a comprehensive risk assessment in geriatric patients, the organ-specific risk stratification is insufficient. Assessment instruments that reflect the idiosyncrasies of multidimensional disease in geriatric patients can complement risk stratification. These should include the assessment of multimorbidity, frailty, nutrition, activities of daily living, and cognition. In addition to risk prediction, geriatric assessment has the major advantage of providing both a diagnostic and a planning perspective. This allows the implementation of supporting measures for optimal perioperative care, which is the goal of any risk stratification. Risk scores provide a global assessment, but they have their limitations in predicting individual patient risk.

Indexed as

Patient Care PlanningAgedAged, 80 and overFemaleFrail ElderlyGeriatric AssessmentHumansInternationalityMalePerioperative CarePostoperative ComplicationsRisk Assessment

Identifiers

PMID24619039
OpenAlexW2144646519

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.