Evidence map›Paper›PMID 30051313›Full record

ReviewCurrent obesity reports2018

Personality Traits and Weight Loss Surgery Outcome.

Irene Generali, Chiara De Panfilis

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current obesity reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Relationship among Self-Efficacy Expectations, Locus of Control, and Attributions in Bariatric Patients.International journal of environmental research and public health · 2022
    Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. A review of psychosocial factors and personality in the treatment of obstructive sleep apnoea.European respiratory review : an official journal of the European Respiratory Society · 2019
    Review
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

2 authors.

Irene GeneraliSchool of Psychiatry, Department of Medicine and Surgery, University of Parma, via Gramsci 14, 43126, Parma, Italy. irene.generali@libero.it.
Chiara De PanfilisUnit of Neuroscience, Department of Medicine and Surgery, University of Parma, Parma, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of the reviewTo update the recent findings on the influence of personality features on postoperative weight loss in patients undergoing bariatric surgery. RECENT

findingsSeveral studies investigated the influence of pre-surgical psychological variables on the outcome of bariatric surgery, but the effective role of personality factors (i.e., both normal personality traits and personality disturbances) in shaping bariatric surgery outcome is still unclear. We analyzed nine recent papers that examined the impact of pre-operative personality traits on postoperative weight loss among individuals undergoing surgery for severe obesity. A personality pattern denoting the ability to self-regulate in spite of the urges or demands of the moment emerged as a robust predictor of good outcome across studies, independently from baseline psychiatric comorbidity and personality disorders.

Indexed as

PersonalityWeight LossAdultBariatric SurgeryComorbidityFemaleHumansImpulsive BehaviorMaleMiddle AgedObesityPersonality DisordersSelf-ControlTreatment OutcomeBariatric surgeryObesityPersonalityPsychological predictorsWeight loss

Identifiers

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.