Evidence map›Paper›PMID 41630947›Full record

ArticlePaediatrics & child health2026

Predictors of postoperative recovery using self-reported HRQoL among children undergoing elective surgery.

Paulina S Lim, Michelle A Fortier, Sherrie H Kaplan, Sergio Gago-Masague, Zeev N Kain

Abstract read
In one paragraph

Article in Paediatrics & child health, 2026. 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
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.

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.

Paulina S LimDepartment of Anesthesiology and Perioperative Care, University of California, Irvine, Irvine, California.ORCID https://orcid.org/0000-0002-1626-6757
Michelle A FortierUCI Center on Stress and Health, University of California, Irvine, Irvine, California, USA.
Sherrie H KaplanHealth Policy Research Institute, University of California, Irvine, Irvine, California, USA.
Sergio Gago-MasagueDonald Bren School of Information and Computer Sciences, University of California, Irvine, California, USA.
Zeev N KainDepartment of Anesthesiology and Perioperative Care, University of California, Irvine, Irvine, California.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: There has been a growing emphasis on holistic approaches to assessing postoperative recovery by using self-reported health-related quality of life (HRQoL). Identifying groups of children at higher risk of poor recovery has become important. The aim of the study is to identify predictors of paediatric postoperative recovery assessed by self-reported HRQoL. Methods: One hundred forty-eight children ages 4 to 12 years completed the Child Health Rating Inventories (CHRIS2.0) to measure overall, physical and mental health, preoperative anxiety, and postoperative pain. Four linear regressions were used to identify predictors of overall, physical and mental health and postoperative pain. Predictors included child gender, race/ethnicity and language, surgical severity, child and caregiver preoperative anxiety, and caregiver distress. Results: Child male gender ( Conclusions: The results of this self-reported study validated previously established predictors of recovery (preoperative anxiety and caregiver distress). Novel predictors, including child male gender and race/ethnicity and language, were identified, providing new insights into factors influencing recovery outcomes.

Indexed as

Health-related quality of lifeLatinx health paradoxPostoperative outcomesPreoperative anxietySelf-report

Identifiers

PMID41630947
PMCPMC12861533

What OpenQuestion holds

Textmetadata
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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.