Evidence map›Paper›PMID 24693463›Full record

ArticleISRN obesity2014

A Single Institution's Overweight Pediatric Population and Their Associated Comorbid Conditions.

Sigrid Bairdain, Chueh Lien, Alexander P Stoffan, Michael Troy, Donald C Simonson, Bradley C Linden

Abstract read
In one paragraph

Article in ISRN obesity, 2014. 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

6 authors.

Sigrid BairdainDepartment of Pediatric Surgery, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA.ORCID 0000-0001-9741-6130
Chueh LienDepartment of Pediatric Surgery, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA.ORCID 0000-0002-9240-5376
Alexander P StoffanDepartment of Pediatric Surgery, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA.
Michael TroyDepartment of Pediatric Surgery, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA.
Donald C SimonsonDivision of Endocrinology, Brigham & Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.
Bradley C LindenPediatric Surgical Associates, Children's Hospitals and Clinics of Minnesota, 2530 Chicago Avenue, South, Suite 550, Minneapolis, MN 55404, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background. Obesity studies are often performed on population data. We sought to examine the incidence of obesity and its associated comorbidities in a single freestanding children's hospital. Methods. We performed a retrospective analysis of all visits to Boston Children's Hospital from 2000 to 2012. This was conducted to determine the incidence of obesity, morbid obesity, and associated comorbidities. Each comorbidity was modeled independently. Incidence rate ratios were calculated, as well as odds ratios. Results. A retrospective review of 3,185,658 person-years in nonobese, 26,404 person-years in obese, and 25,819 person-years in the morbidly obese was conducted. Annual rates of all major comorbidities were increased in all patients, as well as in our obese and morbidly obese counterparts. Incidence rate ratios (IRR) and odds ratios (OR) were also significantly increased across all conditions for both our obese and morbidly obese patients. Conclusions. These data illustrate the substantial increases in obesity and associated comorbid conditions. Study limitations include (1) single institution data, (2) retrospective design, and (3) administrative undercoding. Future treatment options need to address these threats to longevity and quality of life.

Identifiers

PMID24693463
PMCPMC3945184

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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.