Evidence map›Paper›PMID 23292814›Full record

ReviewCurrent rheumatology reports2013

Personalized treatment of pain.

Jacob N Ablin, Dan Buskila

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current rheumatology reports, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Observational
  7. Article
  8. 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

2 authors.

Jacob N AblinInstitute of Rheumatology, Tel Aviv Sourasky Medical Center and Sackler Faculty of Medicine, Tel Aviv University, 6 Weizmann Street, Tel Aviv 64239, Israel. ajacob@post.tau.ac.il
Dan Buskila

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite advances made in its understanding and treatment, chronic pain remains an unsolved and all too common problem. One of the main obstacles to successful management of pain is the high variability of many patients regarding both response to treatment and susceptibility to adverse effects, which curtails the utility of therapeutic intervention. Understanding the causes of this variability is an important challenge which may lead to a new era in rational pain management. As described in this review, however, there currently seems to be more than one possible explanation of this variability. Rational personalized pain management must take into consideration both ever-increasing knowledge of pharmacogenetics and pharmacokinetics and a broad, clinically based attitude incorporating co-morbidities, both physical and psychiatric, and concomitant medications. Novel models for testing in-vivo pain processing, for example assessment of conditioned pain modulation (CPM), are also promising approaches to use of rational data for empirical treatment of pain. Last, listening to the patient and understanding the context in which pain has affected his or her life is an important part of maintaining the personal nature of therapeutic interaction with patients suffering from pain.

Indexed as

Chronic PainComorbidityGenetic Predisposition to DiseaseHumansMental DisordersPain ManagementPrecision Medicine

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.