Evidence map›Paper›PMID 21275436›Full record

ReviewDrugs & aging2011

Epidemiology, pathophysiology and medical management of postoperative ileus in the elderly.

Art Hiranyakas, Badma Bashankaev, Christina J Seo, Marat Khaikin, Steven D Wexner

Abstract readReview
PubMed Publisher
In one paragraph

Review in Drugs & aging, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 25% 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

5 citing papers in PubMed, 18 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Observational
  5. Article
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 3 institutions in 2 countries.

Art HiranyakasCleveland Clinic Florida, Weston, 33331, USA.
Badma Bashankaev
Christina J Seo
Marat Khaikin
Steven D Wexner
Cleveland Clinic Florida · USCleveland Clinic · USSheba Medical Center · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As the population of the Western world ages, the number of major surgical procedures performed in the elderly population will by necessity increase. Within virtually every surgical specialty, studies have shown that patients should not be denied surgery on the basis of chronological age alone. It has recently been recognized that physiological age is far more important within the decision-making algorithm as to whether or not to proceed with major surgery in the septuagenarian and octogenarian populations and beyond. Not unexpectedly, not only the results of these operations, but also the associated morbidities, are similar in older and younger populations. Therefore, it is not surprising that postoperative ileus (POI) affects patients of all ages. POI is a multifactorial condition that is exacerbated by opioid analgesics, bed rest and other conditions that may be rather prevalent in the postoperative elderly patient. Therefore, as major surgical interventions are considered in this population, appropriate assessment and, ideally, correction of any physiological disturbances should be undertaken along with implementation of standardized enhanced recovery protocols. Ideally, through this combined approach, an appreciable impact can be made on reducing POI while controlling postoperative pain and limiting postoperative thromboembolic, cardiopulmonary, cerebral and infectious complications. This article reviews the potential impact of pharmacological agents, laparoscopy and other manoeuvres on POI in the elderly.

Indexed as

AgedAge FactorsHumansIleusPostoperative CarePostoperative Complications

Identifiers

PMID21275436
OpenAlexW1994431767

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.