Evidence map›Paper›PMID 39391645›Full record

ArticleJournal of anaesthesiology, clinical pharmacology

Role of preoperative carbohydrate loading for prevention of perioperative ketoacidosis in elective cesarean delivery.

Ankita Sharma, Udeyana Singh, Gurpreeti Kaur, Anju Grewal, Sahil Maingi, Swati Tidyal

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Article in Journal of anaesthesiology, clinical pharmacology. 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
–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

4 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Ankita SharmaDayanand Medical College, Ludhiana, Punjab, India.
Udeyana SinghDayanand Medical College, Ludhiana, Punjab, India.
Gurpreeti KaurDayanand Medical College, Ludhiana, Punjab, India.
Anju GrewalAll India Institute of Medical Sciences Bathinda, Punjab, India.
Sahil MaingiDayanand Medical College, Ludhiana, Punjab, India.
Swati TidyalDayanand Medical College, Ludhiana, Punjab, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: Starvation of long duration during third trimester of pregnancy is undesirable as it is associated with accelerated fasting leading to hypoglycemia, raised plasma free fatty acid (FFA) levels, and increased plasma/urinary ketones. Carbohydrate (CHO)-rich drinks given preoperatively may ameliorate these deleterious effects. The enhanced recovery after surgery (ERAS) guidelines for perioperative care recommend that oral CHO fluid supplementation 2 h before cesarean delivery may be offered to nondiabetic pregnant women. The aim of the study was to evaluate the role of preoperative oral CHO loading for the prevention of perioperative ketoacidosis in elective cesarean deliveries. Material and Methods: One hundred and twenty American Society of Anesthesiologists (ASA) II/III parturients undergoing elective cesarean section under subarachnoid block (SAB) were divided into two groups of 60 each after they gave written informed consent. Group A parturients received 400 ml of filtered water 2 h before surgery. Group B parturients received 400 ml of nonparticulate CHO drink 2 h before surgery. The primary outcome was the incidence of ketonuria studied by the dipstick method. Secondary outcomes included hunger and thirst scores, anxiety score, dominant hand grip strength, and the quality of recovery score. Results: The urine ketone levels were positive (+1) in 8.3% parturients in group A and 1.7% parturients in the CHO group ( Conclusion: Oral CHO drink is safe when administered 2 h before uncomplicated elective cesarean deliveries. It may have a positive influence on a wide range of perioperative markers of clinical outcome.

Indexed as

Cesarean sectionERAS guidelinesoral carbohydrate drinkurinary ketones

Identifiers

PMID39391645
PMCPMC11463931

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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.