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Something New Under the Sun: Farewell from the Founding Editor

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Critical Care Explorations www.ccejournal.org 1
DOI: 10.1097/CCE.0000000000001180
Copyright © 2024 The Authors.
Published by Wolters Kluwer Health,
Inc. on behalf of the Society of
Critical Care Medicine.
Timothy G. Buchman, PhD, MD,
MCCM
FOREWORD
Something New Under the Sun:
Farewell from the Founding Editor
When I want to understand what is happening today or try to decide
what will happen tomorrow, I look back.— Omar Khayyam
As I conclude my tenure as the Founding Editor of Critical Care
Explorations, I write to share my perspective on the journal and the
broader eld of medical journalism.
A LOOK BACK ON THE JOURNAL
e concept of open access for a major medical publication was not new. In
1997, the Journal of Clinical Investigation (JCI) not only created a homepage
on the emerging “World Wide Web” but also made its entire content freely ac-
cessible. Ajit Varki, the Editor of JCI, wrote: “e pressing issue of the time is
how to properly charge users for this electronic access. e nonprot nature of
JCI allows consideration of a truly novel solution—not charging anyone at all!
Whether this will be nancially sustainable remains to be seen” (1).
Over the next two decades, many medical and professional societies adopted
dierent strategies. Some created open-access journals funded primarily by
page charges. Others, including the Society of Critical Care Medicine (SCCM),
oered hybrid journals that allowed authors to opt for open access beyond the
journal’s subscribers by paying additional fees. Still, others, such as the Public
Library of Science, emerged as entirely open-access publication groups based
on an article processing charge model.
In 2018, SCCM’s Governing Council called for the rapid development and
launch of the society’s rst fully open-access journal. e stimulus was Plan S,
a radical open-access initiative from Europe that was perceived as an existen-
tial threat to subscription-based journals. Plan S, as initially conceived, would
have prohibited European investigators funded by 11 major agencies from pub-
lishing in subscription or hybrid journals (2). SCCM greenlit the new journal
in preparation for that potential shi. Development, prototyping, and initial
production were completed in just four months. Critical Care Explorations
began publishing under the theme “Exploring the Endless Frontier” in January
2019, and it was unveiled to SCCMs members the next month during the an-
nual Clinical Congress in San Diego (3) (Fig. 1).
All of this was accomplished in record time through close collaboration be-
tween the SCCM Chicago oce professionals and our publisher, Wolters Kluwer
(WK). While there have been changes in personnel over the years, most of the
individuals recognized here were present at the journal’s inception. Sophie Tosta
and her dedicated team—Sarah Less, Madison Drake, and Brooke Kittle—manage
the day-to-day operations. Katie Brobst directs Publications and Global Health
for the Society. Lynn Retford, SCCMs Executive Director, partnered with me in
the journal’s conception and inception, and Jeremy Nielsen, Associate Director,
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Buchman
2 www.ccejournal.org December 2024 • Volume 6 • Number 12
added strategic direction under the Society’s leadership
of EVP/CEO David Martin. Publishers Druanne Martin
and Ryan Shaw, along with the WK production team led
by Christopher Baeuerlein, oversee the entire process—
from copyediting to rapid posting and the generation
of complete issues on our website, https://ccejournal.
org. We—authors, editors, reviewers, and readers—owe
them our gratitude.
Here are some measures of our extraordinary success:
More than 3,000 initial submissions have been received,
and over 1,100 have been published in the past 68 months.
e journal is now fully indexed in MEDLINE, PubMed
Central, Web of Science (ESCI), and Scopus. According to
Scopus’s CiteScore in 2024, the journal ranked in the top
quartile of critical care journals (4). is success is largely
due to the hard work of our editorial board—including
all our Associate and Special Editors—and our reviewers.
eir peer review creates the journal’s essential value, a
value that is now being reshaped by a new force: articial
and augmented intelligence.
A LOOK BACK ON PEER REVIEW: ITS
DEVELOPMENT AND VALUE
In his brief history of peer review in 18th-century sci-
entic journalism, David Kronick noted that “peer re-
view…is an essential and integral part of the process of
consensus-building and is inherent and necessary to the
growth of scientic knowledge” (5). e modern history
of peer review is complex, but Drummond Rennie’s 2003
summary captures its essence (6). He posed the ques-
tion: “Editorial peer review, however, is arduous, expen-
sive, oen slow, and subject to all sorts of bias, so why is
there almost universal acceptance of its necessity?”
Rennie oers three reasons: First, editors who
are ultimately responsible for what is published are
Figure 1. Launch of Critical Care Explorations at the 2019 Clinical Congress in San Diego, California.
Foreword
Critical Care Explorations www.ccejournal.org 3
reassured by the expert eyes reviewing the work.
Science is built on theory, and theory is oen proven
wrong. Having experts endorse the work before pub-
lication oers comfort. Second, reviewers appreciate
being part of the process. ey see new ideas before
they are available to the general public and weigh in
on whether the ideas are worth the risk and expense of
publication. ird, readers—without whom no journal
can exist—are reassured that the work they are reading
is “true” in the sense that it can be reproduced under
similar conditions. e skepticism inherent in peer re-
view exposes unsupported claims and forces authors to
acknowledge competing theories and data.
Implicit in these histories is the notion that science
is a human endeavor. Peer review brings essential value
to medical journalism and ensures that what is pub-
lished is generally reliable. While experiments, data,
and analyses are not perfect, peer review exposes the
most visible limitations, correcting what can be cor-
rected and acknowledging what cannot.
THE RISE OF ARTIFICIAL
INTELLIGENCE
e rst application of articial intelligence (AI) in
medical practice, the MYCIN program, aimed to select
optimal antibiotic therapy for sepsis patients by mod-
eling the so logic used by clinicians and acknowledg-
ing uncertainty within 600 rules (7). is early AI was
fully transparent, with explicitly dened rules, and
depended on clinicians’ condence in the inputs.
Earlier, Pitts and McCulloch had begun formally
modeling the human brain—or more specically, the
neuron (8). Networks of articial neurons were trained
to recognize patterns that were dicult to encode with
simple logic.
Combining these ideas—using AI to recognize di-
sease patterns and healthcare utilization without ex-
plicit knowledge of the rules—became an irresistible
concept. ree decades ago, the rst two articles apply-
ing neural networks to critical care appeared in Critical
Care Medicine. One aimed to predict liberation from
mechanical ventilation, and the other sought to predict
ICU length of stay (9, 10). ese eorts survived peer
review because the data and methods used to train the
networks were available for reviewers upon request.
AI in healthcare grew slowly, with access to data as
the limiting factor. Roger Mark and his colleagues at
Beth Israel Deaconess Medical Center recognized that
decision-support systems depended on large-scale
ICU patient data. eir MIMIC (Multi-parameter
Intelligent Monitoring for Intensive Care) database,
now in its fourth version, has generated thousands of
studies on AI’s potential to recognize clinical patterns
and forecast patient outcomes (11).
As access to data and AI modeling tools improved,
the number of critical care AI investigations increased.
However, many submissions to professional journals
were little more than theoretical constructs, oen lack-
ing temporal stability, generalizability, or clinical rele-
vance. When authors were informed that implementing
and testing their models in their own environments was
expected, submissions declined sharply. If authors had
little condence or interest in deploying their creations
in their own hospitals, why should others?
PRESENT DAY
AI has evolved far beyond model creation. With the
rise of generative AI in large language models, AI is
now used to write text, analyze data, identify relevant
references, and even respond to peer-review critiques.
Authors are eectively outsourcing their responsibili-
ties to machines whose behaviors they neither assess
nor control. e SCCM journal family has established
clear guidelines on the fair use of AI by authors and
reviewers (12).
Should editors also embrace AI to automate their
tasks? Howard Bauchner and Frederick P. Rivara re-
cently argued that AI will inevitably become part of
the editorial process and should be embraced to screen
submissions for quality and originality (13). ey
concluded, “Rather than avoiding AI, editors should
embrace it, ensuring its performance is rigorously
evaluated to reassure authors of fairness.
As AI increasingly handles these tasks, peer review
risks becoming a process of AI critiquing AI. is
poses a fundamental issue: technology is not science.
If humans are removed from critical processes such as
experimentation, analysis, and conclusion, we take on
new risks. AI can hallucinate, distort, and homogenize
its worldview. While social media may tolerate mis-
representations, scientic journals cannot aord such
lapses.
e intersection of AI and healthcare is inevitable,
and the combined inuence of these industries is
Buchman
4 www.ccejournal.org December 2024 • Volume 6 • Number 12
shaping our professional lives. e essential value of
a professional journal lies in meaningful peer review,
and we editors must maintain this integrity, ensuring
that what we publish will stand the test of time.
CODA
ree thousand years ago, the author of Ecclesiastes
wrote, “ere is nothing new under the sun
(Ecclesiastes 1:9). Yet, articial intelligence is indeed
new—a human creation that is evolving at a pace that
challenges our understanding. While we cannot es-
cape AI, the question remains whether we can control
it wisely.
Ecclesiastes 3:1 reminds us that “there is a time for
everything, and a season for every activity under the
heavens.” To this wisdom, I add that there is a time to
become an editor and a time to step down. It has been
my privilege to serve as this journal’s founding editor,
and it is my greater privilege to pass this responsibility
to Dr. Tamas Szakmany. May he and his teams of edi-
tors and reviewers guide us all toward new knowledge.
REFERENCES
1. Varki AP: The times they are still a’changing: Keeping up with
the times. J Clin Invest 1996; 97:1
2. Else H: Radical open-access plan could spell end to journal
subscriptions. Nature 2018; 561:17–18
3. Buchman TG: Exploring the endless frontier. Crit Care Explor
2019; 1:e0002
4. Scopus Cite Score: 2023. Available at: https://www.scopus.
com/sourceid/21101092741. Accessed September 25,
2024
5. Kronick DA: Peer review in 18th-century scientific journalism.
JAMA 1990; 263:1321–1322
6. Rennie D: Editorial peer review: Its development and rationale.
Peer Rev Health Sci 2003; 2:1–13
7. Shortliffe EH, Buchanan BG: A model of inexact reasoning in
medicine. Math Biosci 1975; 23:351–379
8. McCulloch W, Pitts W: A logical calculus of ideas immanent in
nervous activity. Bull Mathemat Biophys 1943; 5:115–133
9. Ashutosh K, Lee H, Mohan CK, et al: Prediction criteria for
successful weaning from respiratory support: statistical and
connectionist analyses. Crit Care Med 1992; 20:1295–1301
10. Buchman TG, Kubos KL, Seidler AJ, et al: A comparison of
statistical and connectionist models for the prediction of chro-
nicity in a surgical intensive care unit. Crit Care Med 1994;
22:750–762
11. Mark R: The story of MIMIC. In: Secondary Analysis of Electronic
Health Records. MIT Critical Data (Ed). Cham, Springer, 2016
Sep 10. Chapter 5
12. Buchman TG, Tasker RC: Fair use of augmented intelligence
and artificial intelligence in the preparation and review of
submissions to the society of critical care medicine journals:
Critical Care Medicine, Pediatric Critical Care Medicine, and
Critical Care Explorations. Crit Care Explor 2024; 6:e1017
13. Bauchner H, Rivara FP: Use of artificial intelligence and the
future of peer review. Health Aff Sch 2024; 2:qxae058
Article
Objectives Peer review typically relies on experts volunteering their time to review research. This process presents challenges for journals that may face a shortage of qualified referees, resulting in either delay in handling papers or less thorough review than is optimal. We experimentally tested the impact of providing cash incentives to complete peer review assignments at Critical Care Medicine . Design Quasi-randomized, blinded, interventional study with an alternating treatment design. Setting Critical Care Medicine (CCM ), a peer-reviewed specialty journal. Subjects All reviewers receiving requests from CCM to review research articles during a 6-month period from September 2023 to March 2024 (excluding a 2-wk holiday window). Interventions In alternating 2-week blocks, reviewer invitation letters were sent out, including either an offer of 250foracceptingthepeerreviewrequest(treatment)orthestandardletterwithnocashoffer(control).Reviewerswhofulfilledincentivizedinvitationsreceiveda250 for accepting the peer review request (treatment) or the standard letter with no cash offer (control). Reviewers who fulfilled incentivized invitations received a 250 check from the journal. Measurements and Main Results Our primary outcome was the rate of invitation-to-completed-review conversion, defined as the number of reviews submitted divided by the number of reviewer invitations sent out. Secondary outcomes included the “on-time” conversion rate, invitation acceptance rate, time to invitation acceptance, time to review submission, and review quality. Seven hundred fifteen reviewer invitations were sent out, 414 of which (57.9%) included an incentive offer. Two hundred eighteen (52.7%) of the incentivized invitations were accepted, compared with 144 (47.8%) in the control group. A greater proportion of reviewer invitations led to submitted peer review reports in the incentive group than in the control group (49.8% [206/414] vs. 42.2% [127/301]; p = 0.04). In a “survival analysis,” invitations sent with an incentive offer were fulfilled faster on average (Cox proportional hazard ratio, 1.30 [1.04–1.62]; p = 0.02), corresponding to quicker review times of approximately 1 day (11 vs. 12 d). Of the 333 reviewer reports submitted, 205 (61.6%) were assessed by editors, with no difference in review quality noted between study arms. Conclusions Providing cash incentive for completing peer review reports resulted in a modest increase in the share of invited reviewers who complete reviews for a specialty medical journal.
Article
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Conducting high-quality peer review of scientific manuscripts has become increasingly challenging. The substantial increase in the number of manuscripts, lack of a sufficient number of peer-reviewers, and questions related to effectiveness, fairness, and efficiency, require a different approach. Large-language models, 1 form of artificial intelligence (AI), have emerged as a new approach to help resolve many of the issues facing contemporary medicine and science. We believe AI should be used to assist in the triaging of manuscripts submitted for peer-review publication.
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Full-text available
MIMIC is a Medical Information Mart for Intensive Care and consists of several comprehensive data streams in the intensive care environment, in high levels of richness and detail, supporting complex signal processing and clinical querying that could permit early detection of complex problems, provide useful guidance on therapeutic interventions, and ultimately lead to improved patient outcomes.
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Eleven research funders in Europe announce ‘Plan S’ to make all scientific works free to read as soon as they are published. European Commission special envoy Robert-Jan Smits has spearheaded a plan to make all scientific works free to read.
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Objective: To develop predictive criteria for successful weaning of patients from mechanical assistance to ventilation, based on simple clinical tests using discriminant analyses and neural network systems. Design: Retrospective development of predictive criteria and subsequent prospective testing of the same predictive criteria. Setting: Medical ICU of a 300-bed teaching Veterans Administration Hospital. Patients: Twenty-five ventilator-dependent elderly patients with acute respiratory failure. Interventions: Routine measurements of negative inspiratory force, tidal volume, minute ventilation, respiratory rate, vital capacity, and maximum voluntary ventilation, followed by a weaning trial. Success or failure in 21 efforts was analyzed by a linear and quadratic discriminant model and neural network formulas to develop prediction criteria. The criteria developed were tested for predictive power prospectively in nine trials in six patients. Results: The statistical and neural network analyses predicted the success or failure of weaning within 90% to 100% accuracy. Conclusion: Use of quadratic discriminant and neural network analyses could be useful in developing accurate predictive criteria for successful weaning based on simple bedside measurements. (Crit Care Med 1992; 20:1295-1301) (C) Williams & Wilkins 1992. All Rights Reserved.
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Because of the “all-or-none” character of nervous activity, neural events and the relations among them can be treated by means of propositional logic. It is found that the behavior of every net can be described in these terms, with the addition of more complicated logical means for nets containing circles; and that for any logical expression satisfying certain conditions, one can find a net behaving in the fashion it describes. It is shown that many particular choices among possible neurophysiological assumptions are equivalent, in the sense that for every net behaving under one assumption, there exists another net which behaves under the other and gives the same results, although perhaps not in the same time. Various applications of the calculus are discussed.