Evidence map›Paper›PMID 39042300›Full record

ReviewCurrent pain and headache reports2024

Predicting the Severity of Acute Pain after Cesarean Delivery: A Narrative Review.

Lisa Sangkum, Theerawat Chalacheewa, Choosak Tunprasit, Phisut Lavanrattanakul, Henry Liu

Abstract readReview
In one paragraph

Review in Current pain and headache reports, 2024. 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.

  1. Article
  2. Article
  3. Article
  4. 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.

Lisa SangkumDepartment of Anesthesiology, Faculty of Medicine, Ramathibodi Hospital Mahidol University, Bangkok, 10400, Thailand.
Theerawat ChalacheewaDepartment of Anesthesiology, Faculty of Medicine, Ramathibodi Hospital Mahidol University, Bangkok, 10400, Thailand.
Choosak TunprasitDepartment of Anesthesiology, Faculty of Medicine, Ramathibodi Hospital Mahidol University, Bangkok, 10400, Thailand.
Phisut LavanrattanakulDepartment of Anesthesiology, Faculty of Medicine, Ramathibodi Hospital Mahidol University, Bangkok, 10400, Thailand.
Henry LiuDepartment of Anesthesiology, Faculty of Medicine, Ramathibodi Hospital Mahidol University, Bangkok, 10400, Thailand. henryliula3@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of the reviewCesarean delivery is one of the most common surgical procedures performed worldwide. Approximately 28-78% of the patients have reported experiencing severe pain after Cesarean delivery, which is associated with adverse outcomes. Current analgesic management strategies employ a one-size-fits-all approach, which may not be suitable for all post-Cesarean patients. Our ongoing research and the purpose of this review are focusing on preoperative risk assessment to identify patients at risk of severe pain or needing higher doses of opioid or other analgesics. RECENT

findingsRecent clinical investigations have found that by utilizing the demographic and psychological evaluations, screening tests, quantitative sensory testing, and assessment of response to local anesthetic infiltration, clinicians were potentially able to stratify the risks for severe post-cesarean pain. Several modalities demonstrated significant correlations with pain outcomes, although most of these correlations were weak to modest. Since consensus statement regarding predicting post-CD pain control are still lacking, these correlations can be clinically helpful. It is possible to identify patients at high risk of developing severe acute pain after cesarean section by preoperative demographic data, screening questionnaires, or other tools. Further studies are needed to identify additional variables or screening tools for more accurate prediction and investigate whether personalized analgesic regimens can lead to improved analgesic outcomes.

Indexed as

Acute PainCesarean SectionPostoperative PainFemaleHumansPain MeasurementPregnancyRisk AssessmentCesarean deliveryCesarean sectionPreoperative pain risk assessmentScreening questionare

Identifiers

PMID39042300
PMCPMC11666686

What OpenQuestion holds

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Registered trials

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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.