Evidence map›Paper›PMID 29046775›Full record

ArticleKorean journal of anesthesiology2017

Effect of preoperative incentive spirometry on fentanyl-induced cough: a prospective, randomized, controlled study.

Vipin Kumar Goyal, Suresh Kumar Bhargava, Birbal Baj

Open access · goldAbstract read
In one paragraph

Article in Korean journal of anesthesiology, 2017. 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
0.7field-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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Trial
  2. Trial
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  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

3 authors at 1 institution in 1 country.

Vipin Kumar GoyalDepartment of Anesthesiology, Mahatma Gandhi Medical College, Jaipur, India.ORCID https://orcid.org/0000-0002-3318-3726
Suresh Kumar BhargavaDepartment of Anesthesiology, Mahatma Gandhi Medical College, Jaipur, India.
Birbal BajDepartment of Anesthesiology, Mahatma Gandhi Medical College, Jaipur, India.
Gandhi Medical College & Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFentanyl-induced cough (FIC) has a reported incidence of 13-65% on induction of anesthesia. Incentive spirometry (IS) creates forceful inspiration, while stretching pulmonary receptors. We postulated that spirometry just before the fentanyl (F) bolus would decrease the incidence and severity of FIC.

methodsThis study enrolled 200 patients aged 18-60 years and with American Society of Anesthesiologists status I or II. The patients were allocated to two groups of 100 patients each depending on whether they received preoperative incentive spirometry before fentanyl administration. Patients in the F+IS group performed incentive spirometry 10 times just before an intravenous bolus of 3 µg/kg fentanyl in the operating room. The onset time and number of coughs after fentanyl injection were recorded as primary outcomes. Any significant changes in blood pressure, heart rate, or adverse effects of the drug were recorded as secondary outcomes.

resultsPatients in the F+IS group had a significantly lower incidence of FIC than in the F group (6% vs. 26%) (P < 0.05). The severity of cough in the F+IS group was also significantly lower than that in group F (mild, 5 vs. 17; moderate 1 vs. 7; severe, 0 vs. 2) (P < 0.05). The median onset time was comparable in both groups (9 s [range: 6-12 s] in both groups).

conclusionsPreoperative incentive spirometry significantly reduces the incidence and severity of FIC when performed just before fentanyl administration.

Indexed as

CoughFentanylIncentive spirometryPreoperative

Identifiers

PMID29046775
PMCPMC5645588
OpenAlexW2619726888

What OpenQuestion holds

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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.