Evidence map›Paper›PMID 38264396›Full record

ArticleCureus2023

Anaesthetic Management of Diabetic Ketoacidosis (DKA) in a Cesarean Section: A Case Report.

Vishnu Priya, Sanjot Ninave, Jayshree Sen, Amol Bele

Abstract readCase Reports
In one paragraph

Article in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Vishnu PriyaAnaesthesiology, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education & Research, Wardha, IND.
Sanjot NinaveAnaesthesiology, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education & Research, Wardha, IND.
Jayshree SenAnaesthesiology, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education & Research, Wardha, IND.
Amol BeleAnaesthesiology, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education & Research, Wardha, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetic ketoacidosis (DKA) is a life-threatening complication of diabetes mellitus that poses unique challenges during pregnancy. We present a case of a 36-year-old pregnant woman with a history of type 1 diabetes mellitus who developed severe DKA at 33.5 weeks of gestation, necessitating an emergency cesarean section. Despite a known history of diabetes, the patient's infrequent clinic attendance and suboptimal disease management contributed to her critical condition. DKA was promptly diagnosed, and a multidisciplinary team comprising obstetricians, endocrinologists, anesthesiologists, and neonatologists collaborated to provide comprehensive care. The preoperative assessment revealed dehydration and electrolyte imbalances, necessitating meticulous planning for IV fluid administration and hemodynamic stability during the cesarean section. Regional anaesthesia was chosen as the anaesthetic approach, and close postoperative monitoring was initiated. The neonate, delivered with satisfactory Apgar scores, was transferred to the neonatal ICU for observation. The patient's gradual clinical improvement over 48 hours demonstrated the importance of ongoing care. This case highlights the significance of early recognition, multidisciplinary teamwork, and meticulous perioperative care in managing DKA during pregnancy, ensuring favourable outcomes for both the mother and the neonate.

Indexed as

cesarean sectiondiabetic ketoacidosismaternal-fetal healthmultidisciplinary carepregnancytype 1 diabetes mellitus

Identifiers

PMID38264396
PMCPMC10804210

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.