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Record W3013746612 · doi:10.18535/jmscr/v8i3.104

A randomized controlled trial of ganglion impar block vs ganglion impar block with superior hypogastric plexus block for pain relief in patients of pelvic and perineal cancer

2020· article· en· W3013746612 on OpenAlexaboutno aff
Dr Apoorva Gupta

Bibliographic record

VenueJournal of Medical Science And clinical Research · 2020
Typearticle
Languageen
FieldMedicine
TopicAnesthesia and Pain Management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineBlock (permutation group theory)GanglionAnesthesiaPain reliefSurgeryAnatomy

Abstract

fetched live from OpenAlex

We compared the efficacy of Ganglion Impar (GI) block versus Superior Hypogastric Plexus (SHP) with GI block (both combined) for pain relief in patients of pelvic and perineal cancer. This prospective, randomized, double-blinded, controlled study was conducted on 50 patients, 18 to 70 years old with pelvic and perineal cancer pain with baseline VAS score>5.GI neurolysis with 3-5ml 70% alcohol in one group(group G) and GI along with SHP neurolysis with 10 ml 70% alcohol on either side was done in the other group(group S).VAS score, quality of life (QOL) score by Mcgill's quality of life questionnaire, requirement of rescue analgesia post-procedure were assessed. The VAS score decreased in both the groups and was lower in group S than in group G, at all intervals except at baseline. QOL also improved in both the groups, the QOL scores being lower in S than G group at all intervals, except at 2 weeks follow up. Rescue analgesic requirement was similar in both the groups except at 2 nd and 3 rd months when morphine consumption was more in GROUP G. Concluded that GI block and GI with SHP block both provide drastic pain relief in pelvic and perineal cancer pain, pain relief being more when SHP is blocked along with GI. Quality of life is improved, and morphine requirement is reduced in both groups (more in group S).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.048
metaresearch head score (Gemma)0.041
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.044
Threshold uncertainty score0.980

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0480.041
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.066
GPT teacher head0.421
Teacher spread0.355 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designRandomized trial
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2020
Admission routes1
Has abstractyes

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