Evidence map›Paper›PMID 38962157›Full record

ArticlePlastic and reconstructive surgery. Global open2024

Global Surgery: The Challenges and Strategies to Win a War That Must Be Won.

Peter M Nthumba

Abstract read
In one paragraph

Article in Plastic and reconstructive surgery. Global open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Perspectives in Plastic Surgery: View of Plastic Surgeons From Kenya.Plastic and reconstructive surgery. Global open · 2026
    Article
  3. Article
  4. Article
  5. Winning the Global Surgery War: A Conceptual Framework.Plastic and reconstructive surgery. Global open · 2025
    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

1 author.

Peter M NthumbaFrom Department of Plastic Surgery, AIC Kijabe Hospital, Kijabe, Kenya.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Modern science has conquered seas, land, and space. Although great strides have been made in technology and infectious diseases, global surgery, which was reborn in 2015, has not made much progress. The burden of surgical disease in low- and middle-income countries remains seemingly unconquerable, and its growth unstoppable. The myriad challenges in meeting the surgical needs of 5 billion people has intrigued the author. Methods: The author collected the views of plastic surgeons on sources and impediments to the scale-up of plastic surgery in low- and middle-income countries, as well as potential strategies for overcoming these obstacles. The author then performed a literature search reviewing the topics that arose from those discussions. The author proposes a strategy using plastic surgery as a model surgical discipline. Results: A root-cause analysis suggests that the Alma Ata Declaration, with its focus on primary healthcare, is the probable genesis of global surgery (GS) woes. The absence of a clear GS community leader and the fragmented nature of GS advocates who operate in multiple silos, without a clear unified goal, are the primary reasons GS advocates have achieved so little on the ground. Conclusions: Global surgery requires a business model to sustainably meet the surgical needs of the 5 billion people globally. The proposed and implemented strategies must meet rigorous criteria to ensure sustainability, as quick-fix solutions are counterproductive. The development of centers of excellence offers a viable solution to problems that must be addressed successfully.

Identifiers

PMID38962157
PMCPMC11221857

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.