Evidence map›Paper›PMID 25931835›Full record

ArticleUlusal cerrahi dergisi2013

Evaluation of controlled prescriptions with a diagnosis of surgical intervention.

Ahmet Akıcı, Mustafa Ümit Uğurlu, İbrahim Topçu, Hüseyin Yılmaz, Dilek Demircan

Open access · hybridAbstract read
In one paragraph

Article in Ulusal cerrahi dergisi, 2013. 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, top 94% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

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

5 authors at 1 institution in 1 country.

Ahmet AkıcıDepartment of Pharmacology, Marmara University Faculty of Medicine, İstanbul, Turkey.
Mustafa Ümit UğurluDepartment of General Surgery, Marmara University Faculty of Medicine, İstanbul, Turkey.
İbrahim Topçuİstanbul Public Health Center, İstanbul, Turkey.
Hüseyin Yılmazİstanbul Directorate of Health, İstanbul, Turkey.
Dilek DemircanDepartment of Pharmacology, Marmara University Faculty of Medicine, İstanbul, Turkey.
Marmara University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveDrugs subject to control (DSC) are commonly used in the preoperative, per-operative and postoperative periods. In this study, details of DSC use, that are required to be prescribed to green prescriptions (GP) or red prescriptions (RP), for a surgical diagnosis were evaluated. MATERIAL AND

methodsControlled drug prescriptions (CDP) between January to December 2009 were investigated in the archives of the Istanbul Local Health Authority. 660 CDPs indicating a surgical diagnosis were retrospectively evaluated and those prescribed by surgical departments (SD)were compared to those written by internal medicine departments (ID).

resultsSD physicians prescribed 72.7% of CDPs and 89.5% of prescriptions were for GP, and 10.5% were for RP. The physicians of SD were found to prescribe more RP than ID physicians. Most of the CDPs were written for women (58.8%) and mostly in private hospitals (40.9%). Among all the physicians, orthopedic surgeons prescribed these drugs the most (20.9%). Tramadol was the most common drug found in CDPs (55.5%).

conclusionDSCs, which have difficult prescription procedures, are used frequently in surgical interventions. The study shows that not only SD physicians, but also ID physicians prefer CDP. The study provides important clues to the usage patterns of DSCs. Recently evolving health care systems including prescriptions should use these findings obtained from the study.

Indexed as

drugs subject to controlgreen prescriptionsred prescriptionsSurgical intervention

Identifiers

PMID25931835
PMCPMC4379772
OpenAlexW1968930109

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.