Evidence map›Paper›PMID 39014032›Full record

ReviewCell and tissue banking2024

Establishing a bone bank within a hospital setting in India: early insights from a tertiary care center in Northern India-a review article.

Anil Regmi, Bishwa Bandhu Niraula, Vikas Maheshwari, Hawaibam Nongdamba, Rahul Karn, Parshwanath Bondarde, Utsav Anand, Mohit Dhingra, Pankaj Kandwal

Abstract readReview
PubMed Publisher
In one paragraph

Review in Cell and tissue banking, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
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

9 authors.

Anil RegmiAll India Institute of Medical Sciences, Rishikesh, India.ORCID https://orcid.org/0000-0002-9182-4851
Bishwa Bandhu NiraulaAll India Institute of Medical Sciences, Rishikesh, India.
Vikas MaheshwariAll India Institute of Medical Sciences, Rishikesh, India.
Hawaibam NongdambaAll India Institute of Medical Sciences, Rishikesh, India.
Rahul KarnAll India Institute of Medical Sciences, Rishikesh, India.
Parshwanath BondardeAll India Institute of Medical Sciences, Rishikesh, India.
Utsav AnandAll India Institute of Medical Sciences, Rishikesh, India.
Mohit DhingraAll India Institute of Medical Sciences, Rishikesh, India. mohit.orth@aiimsrishikesh.edu.in.ORCID http://orcid.org/0000-0001-6798-9173
Pankaj KandwalAll India Institute of Medical Sciences, Rishikesh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

When addressing bone defects resulting from trauma, infection, or tumors, the use of allogenic bone is often necessary. While autografts are considered the standard, they have limitations and can lead to donor site morbidity. Consequently, there has been exploration into the feasibility of utilizing allogenic bone and bone graft replacements. Allogenic bone transplants are acquired from donors following rigorous procurement, sterile processing, and donor screening procedures. To ensure the safe storage and effective utilization of allograft material, a bone banking system is employed. Establishing and managing an orthopedic bone bank, entails navigating complex legal and medical organizational aspects. This paper examines the establishment and operation of bone banks in India, drawing upon our first-hand experience in managing one at a tertiary care center in Northern India.Level of evidence: Level IV.

Indexed as

Bone BanksBone TransplantationTertiary Care CentersHumansIndiaAllogenic boneBone bankBone graftingBone reconstruction

Identifiers

PMID39014032

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.