Evidence map›Paper›PMID 32495251›Full record

ReviewReviews in endocrine & metabolic disorders2020

The use of Broca index to assess cut- off points for overweight in adults: A short review.

Irakoze Laurent, Manirakiza Astère, Banderembako Paul, Nkengurutse Liliane, Yue Li, Qingfeng Cheng, Qifu Li, Xiaoqiu Xiao

Abstract readReview
PubMed Publisher
In one paragraph

Review in Reviews in endocrine & metabolic disorders, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

7 citing papers in PubMed, 21 citations in OpenAlex.

  1. Trial
  2. Article
  3. Observational
  4. Article
  5. Anesthesia for Morbidly Obese Patients.Deutsches Arzteblatt international · 2023
    Review
  6. Review
  7. 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

8 authors at 4 institutions in 2 countries.

Irakoze LaurentDepartment of Endocrinology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, People's Republic of China.
Manirakiza AstèreFaculty of Medicine, Burundi University, Bujumbura, Burundi.
Banderembako PaulFaculty of Medicine, Burundi University, Bujumbura, Burundi.
Nkengurutse LilianeMinistry of Public Health, Epidemiological Emergency Service, Bujumbura, Burundi.
Yue LiThe Chongqing Key Laboratory of Translational Medicine in Major Metabolic Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, People's Republic of China.
Qingfeng ChengDepartment of Endocrinology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, People's Republic of China.
Qifu LiDepartment of Endocrinology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, People's Republic of China.
Xiaoqiu XiaoDepartment of Endocrinology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, People's Republic of China. 3189983504@qq.com.
First Affiliated Hospital of Chongqing Medical University · CNChongqing Medical University · CNMinistère de la Santé Publique · BIUniversité du Burundi · BI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Broca formula was developed in 1871 by Pierre Paul Broca (a French Army Doctor) to help establish ideal body weight or normal body weight. Initially, the Broca Index (BI) was used to work out the normal weight but was later expanded to ideal Body Weight. Ideal Body weight (kg) = [Height (cm)-100]. The common methods used to explore the levels of adiposity include body mass index (BMI), waist circumference, skinfolds, bioelectrical impedance analysis, dual energy x-ray absorptiometry (DEXA), computerized tomography (CT) and magnetic resonance imaging (MRI). Even though there have been several anthropometric measurements discoveries to assess obesity, BMI is still widely used in many clinic centers around the world. It remains simple and relatively inexpensive to measure and easily obtainable in non-laboratory settings. In this review, we will summarize the common methods used to measure body fat and their limitations. Second, we will show the correlation that may exist between Broca Index and BMI cutoffs. Last, we will underline some potential clinical usefulness that may present Broca index in assessing body fat.

Indexed as

Body CompositionBody Mass IndexHealth Status IndicatorsHumansOverweightAdultsBroca indexCutoffsOverweight

Identifiers

PMID32495251
OpenAlexW3032316637

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.