Evidence map›Paper›PMID 29743832›Full record

ReviewIntestinal research2018

Management of inflammatory bowel disease in older persons: evolving paradigms.

Saurabh Kedia, Jimmy K Limdi, Vineet Ahuja

Open access · diamondAbstract readReview
In one paragraph

Review in Intestinal research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
3.1field-weighted citation impact, top 8% 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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 32 citations in OpenAlex.

  1. Pooled it
  2. Guideline
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
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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

3 authors at 1 institution in 1 country.

Saurabh KediaDepartment of Gastroenterology and Human Nutrition, All India Institute of Medical Sciences, New Delhi, India.
Jimmy K LimdiSalford & Pennine Clinical Research Unit, The Pennine Acute Hospitals NHS Trust, Manchester, UK.
Vineet AhujaDepartment of Gastroenterology and Human Nutrition, All India Institute of Medical Sciences, New Delhi, India.
All India Institute of Medical Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The incidence and prevalence of inflammatory bowel disease (IBD) is increasing, and considering the aging population, this number is set to increase further in the future. The clinical features and natural history of elderly-onset IBD have many similarities with those of IBD in younger patients, but with significant differences including a broader differential diagnosis. The relative lack of data specific to elderly patients with IBD, often stemming from their typical exclusion from clinical trials, has made clinical decision-making somewhat challenging. Treatment decisions in elderly patients with IBD must take into account age-specific concerns such as comorbidities, locomotor and cognitive function, and polypharmacy, to set realistic treatment targets in order to enable personalized treatment and minimize harm. Notwithstanding paucity of clinical data, recent studies have provided valuable insights, which, taken together with information gleaned from previous studies, can broaden our understanding of IBD. These insights may contribute to the development of paradigms for the holistic and, when possible, evidence-based management of this potentially vulnerable population and are the focus of this review.

Indexed as

AgingColitis, ulcerativeCrohn diseaseOutcomesTherapeutics

Identifiers

PMID29743832
PMCPMC5934592
OpenAlexW2800448757

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.