Evidence map›Paper›PMID 37162783›Full record

ArticleCureus2023

Accuracy of Self-Estimated BMI in the Context of Telephone Assessment Before Elective General Surgery.

Ashim Chowdhury, Charlotte Burford, Ellen Ainger, Roland Fernandes

Open access · diamondAbstract read
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. 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, top 91% of its field
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, 0 citations in OpenAlex.

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

4 authors at 1 institution in 1 country.

Ashim ChowdhuryGeneral Surgery, East Kent Hospitals University NHS Foundation Trust, Ashford, GBR.
Charlotte BurfordGeneral Surgery, East Kent Hospitals University NHS Foundation Trust, Ashford, GBR.
Ellen AingerGeneral Surgery, East Kent Hospitals University NHS Foundation Trust, Ashford, GBR.
Roland FernandesGeneral Surgery, East Kent Hospitals University NHS Foundation Trust, Ashford, GBR.
East Kent Hospitals University NHS Foundation Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background This study aimed to determine if self-estimated body mass index (BMI) from telephone consultation was accurate and useful for surgical planning prior to elective general surgery. Methods A prospective cohort study was performed under a single surgeon at a district general hospital in the United Kingdom. Estimated BMI was collected from consecutive patients attending a pre-operative telephone consultation. Actual BMI was measured on the day of surgery and compared. Patient age and gender were also collected. Results Data were collected from 124 participants (median age 59 years, 49.2% male). A total of 33 participants under-estimated, 53 over-estimated, and 38 accurately estimated their BMIs. The median change in BMI was 0.0 (IQR -0.1, 0.3, p = 0.003). The median change in males was 0.0 (-0.1, 0.2, p = 0.479) compared to 0.1 (0.0, 0.7, p = 0.002) in females. Those with an actual BMI > 29.9 had a significantly higher median change (0.2 {0.0, 1.1}) compared to those with BMI ≤ 29.9 (0.0 {-0.2, 0.1}; p <0.001). Only two patients could have required a change in surgeon on the day of the procedure and this was not statistically significant (p = 0.500). Conclusions Self-estimated BMI, collected via telephone consultation, is a suitable method for assessing patients for surgical planning ahead of elective general surgery procedures, particularly for males. However, it is important to be aware that those with higher BMIs, particularly females, may underestimate their BMIs.

Indexed as

bmibody mass indexcovid-19preoperative planningtelemedicine

Identifiers

PMID37162783
PMCPMC10164414
OpenAlexW4362705070

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.